B.S. in Economics and Quantitative Methods

To Be Offered by Indiana University at Bloomington

1. NCES Degree Level1: 05 Bachelor’s Degree

   
   

2. Mode of Delivery (In-person or Online2): In-person

   
   

3. Career Relevant/Out-of-Classroom Experiences3: There are no required out-of-classroom experiences but students are encouraged to pursue an internship in Economics and may earn credit (and count those credits toward the degree program) for internship experiences.

   
   

4. Academic Unit(s) Offering Program: Department of Economics, College of Arts and Sciences

   
   

5. Suggested CIP Code for Program: 45.0603 Econometrics and Quantitative Economics

1 National Center for Education Statistics Award Level Definitions

2 For Commission purposes, “online” includes two categories: 100% online and blended programs, i.e. 80-99% is online, with the remaining portion in-person.

3 Co-ops, internships, clinicals, practica, capstone projects, employer critiques, study abroad

1. Program Description

   
   

   Students pursuing this degree will acquire fundamental analytical and computational skills rooted in modern economic theory, modeling and statistical methods, and will learn how to apply these skills in practice using advanced quantitative tools. In addition to learning core economic theory in microeconomics and macroeconomics, all students will develop essential applied econometrics skills using industry-standard computing tools such as R, Python, and other up-to-date data analysis software. Toward this goal, building on the foundation of required core classes, students will have a selection of advanced courses emphasizing advanced skills in computational and empirical analysis, such as Analysis of Big Data, Computational Macroeconomics, and Advanced Econometrics.

   
   

2. Rationale for the Program

   
   

   1. Rationale: General

      
      

      The Bachelor of Science in Economics and Quantitative Methods provides students with educational experiences designed to prepare them for a range of essential and in-demand occupations. In addition to the thorough foundation in economic theory and methodologies that has been a part of our undergraduate Economics program and long-standing Bachelor of Arts in Economics degree, the proposed degree program differs substantially from the Bachelor of Arts by requiring coursework that will allow students to attain greater depth in the technical skills necessary for quantitatively oriented jobs.

      
      

      The curricular structure helps students first form connections between economic theory and econometrics so that they can then realize workplace and economic policy-focused applications. As they progress in the program, students will exceed the foundation established through the Bachelor of Arts in Economics and increase their specialization in advanced quantitative skills. Faculty are aware that not all students who enter our undergraduate program are aware that these quantitative

      skills are essential in Economics as well as many career fields of interest. Starting in the core classes, then, our faculty will work with all students to make sure they recognize the possibilities and importance of quantitative skills. In subsequent, higher-level courses, faculty will continue to support students to ensure they remain motivated to successfully complete the curricular steps needed to attain the skills.

      The curriculum for the proposed degree program is especially differentiated from that of the Bachelor of Arts in Economics by its emphasis on advanced quantitative skills. Students will refine those skills through their engagement in, at minimum, two required data analytics and computation courses.

      
      

      Put succinctly, the Bachelor of Science in Economics and Quantitative Methods degree provides students with an up-to-date skill set making them more prepared for the growing array of quantitatively oriented jobs and advanced degrees. Data analysis, computer programming, and computational methods represent a rapidly expanding segment of the job market. Whether students plan to further their education in a graduate program—in Economics or otherwise—or directly enter the job market, experience with data analysis and coding in computer languages such as R and Python provides a growing advantage.

   2. Institutional Rationale

      
      

      The College of Arts and Sciences at Indiana University Bloomington endeavors to ensure its graduates are prepared not only for the jobs of today but those of tomorrow, too. Additionally, the institution offers educational opportunities that inspire civic engagement and promote lifelong learning. The Bachelor of Science in Economics and Quantitative Methods is reflective of the institution’s mission to support students’ development and demonstrative of the strengths of the research institution at which it is housed. Major requirements in economics, statistics, econometrics, mathematics, and data analytics and computation will bring students into contact with scholars and practitioners at the top of their field. With their guidance and support, students will establish a depth of expertise in quantitative work that will prepare them for a variety of jobs as well as entry to graduate programs. Students will also be able to utilize the strengths of other College and IU programs through their completion of degree requirements outside of the major.

      Collectively, the degree’s curricular offerings will ensure students have the breadth of skills needed to succeed professionally while also making meaningful contributions to their communities.

      
      

   3. State Rationale: General

      
      

      The Bachelor of Science in Economics and Quantitative Methods aligns well with the Indiana Commission for Higher Education’s strategic plan Reaching Higher In a State of Change. There is a clear need for individuals with strong quantitative and computational skills throughout the state, and this program will maintain a high level of quality as it helps students attain not only those skills but also the ability and wherewithal to seek new information and learn new skills after graduation. A high degree of quality will also be there in student support resources. The Department of Economics faculty are committed to the success of all students. They will maintain rigorous coursework that connects classroom learning with real-world applications while also monitoring students’ performance and providing feedback through available learning and early reporting platforms. The two professional academic advisors assigned to the department will provide additional support to students, making sure the objectives of degree requirements are understood so that opportunities can be maximized within students’ desired timelines. The advisors will thus play a crucial role in helping students keep costs as low as possible. Career coaches will also be among those supporting students. In working with their career coaches, students will maintain strategic post-graduation plans and gain confidence in their ability to communicate to employers and graduate programs their strengths and skills. Additionally, every semester, career coaches will organize events that help increase equity in post-graduation outcomes by putting students in direct contact with alumni and recruiters working in the variety of occupations for which the students will be qualified, making them all the more aware of how to excel in those areas.

   4. State Rationale: Equity-Related

      
      

      The degree program will leverage existing campus and College programs and systems to support underrepresented and at-risk student populations. This includes those offered through offices such as 21st Century Scholars, Groups, and Hudson and Holland Scholars as well as the Student Engagement Roster and support from our academic advisors, diversity office, and staff in the College’s Office of Retention and Achievement. The Department of Economics also has a variety of support resources built into the introductory courses required for the major.

      
      

3. Evidence of Labor Market Need

   
   

   1. National, State, or Regional Need

      
      

      The quantitative, analytical, and problem-solving skills emphasized through the Bachelor of Science in Economics and Quantitative Methods program will prepare students for a variety of essential and in-demand occupations in all sectors.

      Additionally, they will develop competencies in visualization tools, technical programs, and coding in computer languages. Collectively, the skills and experiences with technical programs will position graduates to fill national and state market needs in fields such as data analysis and management, finance, economic research, actuarial science, and policy.

      
      

   2. Summary of Indiana DWD and/or U.S. Department of Labor Data

      
      

      Graduates of the Bachelor of Science in Economics and Quantitative Methods program will be prepared for a range of high-skill occupations, and the U.S. Department of Labor (DOL) has projected high national demand for many of those occupations through the remainder of the decade. The following are some of the relevant areas in which the DOL has projected employment growth: financial analyst (6%); computer systems analyst (7%); management analyst (14%); financial managers (17%); actuarial science (24%). According to the Indiana Employment Outlook Projections dashboard maintained by the Indiana Department of Workforce Development, statewide growth in these occupations is expected to remain steady through 2028.

      
      

   3. National, State, or Regional Studies

      
      

      We are not aware of any studies that address this question.

      
      

   4. Surveys of Employers or Students and Analyses of Job Postings

      
      

      Surveys were not conducted. Through a review of job postings, however, it was confirmed that the skills emphasized in the Bachelor of Science in Economics and Quantitative Methods program align with those needed for an array of quantitatively-oriented occupations. An analysis of job postings that resulted from the “data analyst” search query on the Indiana Career Connect job board (See Appendix 3) was especially illustrative of the demand for our graduates and confirms the relevance of the degree’s design. The query presented hundreds of

      openings, many of which are designated as high-demand, high-wage jobs on the INDemand ranking scale. A bachelor’s degree in a quantitative discipline, like Economics, is listed among the qualifications for many of the postings. Common among the required attributes is the ability to organize, analyze, and create accessible visualizations of data through the utilization of advanced quantitative skills and familiarity with analysis software. Additionally, the openings are not isolated to a single region of the state. The postings show that people with the skills emphasized through the Bachelor of Science in Economics and Quantitative Methods program are needed throughout Indiana. Also, the postings are not limited to a single sector, which further indicates that public, private, and non-profit organizations recognize that the skills attained by our graduates are essential to their operations and missions.

      
      

   5. Letters of Support

      
      

      Letters of support are provided from:

      • Jacob Theising, Data Scientist, General Motors

      • Xiaofei Wang, Executive Director of Data Analytics, Paramount Pictures

      • Arielle Knudsen, Lead Data Scientist, Brown-Forman

      • Amy Slayten, Career Program Coordinator, Defense Finance and Accounting Service

      
      

      Among the authors of the included letters of support, there is clear consensus that attaining the Bachelor of Science in Economics and Quantitative Methods will be beneficial. All four people confirmed that the skills emphasized through the program are in demand and that relevant job opportunities exist in their respective field.

      
      

4. Cost of and Support for the Program

   
   

   1. Costs

      
      

      At present, we do not anticipate any new facility, equipment, personnel, or library needs resulting from this new degree. Future needs will be driven by the growth in demand for the major.

      
      

      1. Faculty and Staff

         
         

         There currently are sufficient faculty and staff to run the Bachelor of Science in Economics and Quantitative Methods program.

         
         

      2. Facilities

         
         

         The degree program will utilize existing facilities.

         
         

      3. Other Capital Costs (e.g. Equipment)

      
      

      The degree program will not require any capital investments.

   2. Support

      
      

      1. Nature of Support (New, Existing, or Reallocated)

         
         

         There has been no reallocation of resources to support this program. The degree program will be managed by and supported within the Department of Economics and will not require the support of any additional capital investments. Similarly, it will not require new personnel. Additionally, no programs will be eliminated or downsized to provide resources for this program. We expect that some students who will have otherwise chosen to pursue the Bachelor of Arts in Economics will pursue this degree program instead. The department is already adequately staffed to absorb moderate growth in undergraduate majors.

         
         

      2. Special Fees above Baseline Tuition

      
      

      No special fees above baseline tuition are needed to support this program.

5. Similar and Related Programs

   
   

   
   

   1. Similar Programs at Other Institutions

      
      

      1. Similar Programs at Indiana Institutions

         
         

         The following institutions offer similar degree programs to the proposed program:

         
         

         • B.A. in Quantitative Economics: Earlham College

         • B.S. in Quantitative Economics: Indiana University-Purdue University-

           Indianapolis

           
           

      2. Similar Programs at Institutions Outside Indiana

         
         

         The following institutions offer similar degree programs to the proposed program:

         • B.S.L.A.S. in Econometrics and Quantitative Economics: University of Illinois-Urbana-Champaign

         • B.S. in Quantitative Economics: Portland State University

      
      

   2. Related Programs at the Proposing Institution

      
      

      As mentioned earlier, the proposed degree program will likely impact enrollment in

      B.A. in Economics as students who have had a particular interest in quantitative economics will have an option that aligns more closely with their interests. We believe this may also serve as an attractive option for students who are not admitted to the B.S. in Business degree program.

      
      

      A number of degree programs in the College of Arts and Sciences and the campus will complement the B.S. in Economics and Quantitative Methods, including the

      B.S. in Mathematics, B.S. in Statistics, B.A. and B.S. in Computer Science, and B.S. in Data Science. We suspect a number of students will pursue dual degrees in these areas.

      
      

6. Preparation for and/or Collaboration with Other Programs

   
   

   1. Preparation for Graduate Programs

      
      

      Students who earn the Bachelor of Science in Economics and Quantitative Methods will be well prepared to pursue advanced degrees in an array of areas. These include business, information systems, data analytics, actuarial science, public affairs, education, international studies, and statistics are among the types of programs for which students would be prepared.

   2. Articulation of Associate/Baccalaureate Programs

      
      

      Students will be able to transfer up to 60 credit hours from Ivy Tech Community College (ITCC) or Vincennes University (VU) and apply those hours toward the degree program. To demonstrate an articulation pathway, we have selected the A.S. in Liberal Studies, but it would work equally as well with the A.A. in General Studies as well as other degree programs. Similarly, we have chosen the A.S. in Liberal Arts (Transfer) with Economics Concentration (1453), but other options could also work well.

      
      

   3. Collaboration with Similar or Related Programs on Other Campuses

      
      

      We are not collaborating with other academic units or campuses on this degree program.

      
      

7. Quality and Other Aspects of the Program

   
   

   1. Credit Hours Required/Time To Completion

      
      

      The Bachelor of Science in Economics and Quantitative Methods requires 120 credit hours. Most students will need four years (8 semesters) of full-time study to complete the degree program, though it may be possible to complete all requirements in less time and fewer semesters.

      
      

   2. Exceeding the Standard Expectation of Credit Hours

      
      

      This program does not exceed the 120 semester credit hour expectation.

      
      

   3. Student Engagement Experiences with Career Relevance

      
      

      The Department of Economics will ensure students in this degree program have access to meaningful student engagement experiences within and outside of their classrooms. The goals of the experiences will be aligned with the National Association of Colleges and Employers’ (NACE) career readiness competencies.

      Through major and general education courses, students will develop strong communication, critical thinking, cultural competency, and leadership skills. Group work and class discussions will allow students to work with people from different cultures and to recognize the value of diverse ideas. Students will also have opportunities to work with relevant technology every semester and will learn how to use it effectively while also learning how to adapt when technology changes.

      
      

      Students will have access to a variety of co-curricular and extracurricular activities. Within the department, there are opportunities to do research and independent study projects with faculty mentors. Students can also apply for undergraduate teaching assistantships. Clubs and organizations offer opportunities to further develop the NACE competencies noted above. Students can also connect with career coaches who will help them find structured internships in professional settings of interest so that they can apply and build on what they have learned in their coursework. Collectively, these activities will contribute to students’ professionalism.

   4. Program Competencies or Learning Outcomes

      
      

      Students who earn the Bachelor of Science in Economics and Quantitative Methods will be able to:

      • Apply microeconomic and macroeconomic theory and data to analyzing contemporary economic problems and policies.

      • Understand basic math-modeling techniques used in microeconomic and macroeconomic theory.

      • Understand how to organize economic data and to generate and interpret its descriptive statistics.

      • Understand the principles of statistical inference including hypothesis testing and ordinary least-squares regression modeling.

      • Possess expertise in the application of econometric analysis software to present and analyze data.

      • Understand modern econometric techniques and use sophisticated programming tools to implement them.

        
        

   5. Assessment

      
      

      Learning outcomes will be assessed via the exams, papers, performance evaluations, and other assignments embedded within each of the courses that students will take to fulfill the degree requirements. The Department of Economics will also be attentive to student participation rates in relevant co-curricular opportunities and regularly consult the professional academic advisors for feedback on students’ experiences. The Department of Economics will work closely with the Walter Center for Career Achievement to collect and analyze career and post-baccalaureate education outcomes.

      
      

   6. Licensure and Certification

      
      

      This degree program does not lead to any specific state licensure, national professional certification, or third-party industry certification.

      
      

   7. Placement of Graduates

      
      

      The Bachelor of Science in Economics and Quantitative Methods is designed to prepare students for a variety of occupations in all sectors. We expect finance, business, management, actuarial, logistics, real estate, and healthcare will be the industries in which we see a large proportion of our graduates finding employment.

      
      

   8. Accreditation

      
      

      The department does not intend to seek any specific accreditation for this degree.

8. Projected Headcount and FTE Enrollments and Degrees Conferred

Appendix 1: Summary of Indiana DWD and U.S. Department of Labor Data, Detail Table 1.1 National Outlook

Table 1.2 Statewide Outlook

Appendix 2: National, State, or Regional Studies

Not applicable

Appendix 3: Analyses of Job Postings, Detail

Data Analyst Job Postings Drawn from Indiana Career Connect Senior Information Services Data Analyst

Indiana University Health

Location: Indianapolis, IN - 46204 Positions available: 1 Job #: 321810

Job Description Overview

Indiana University Health adheres to the organization's Code of Ethics and Corporate Compliance, and aligns with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.

Apply for a Senior Information Services Data Analyst with IU Health! This position is in the IS Enterprise department on team Business and Clinical Intelligence. This will be a hybrid-status role so it will have both onsite (Indianapolis) and remote opportunities. Hours will be M-F 40 hours per week with light on-call duties.

The role of the Senior Information Services Data Analyst is to turn abstract data into appealing and understandable visualizations to improve our enterprise leaders’ ability to learn new insights from the analyses. A creative thinker who applies their knowledge of user interface and user experience design to visualize data in insightful ways that mix function and graphical design elements will be successful in this position. This will require an understanding of how data can be turned into knowledge and how this knowledge enables key decision processes. An understanding of data access technologies and the requirements for good business analytics and data exploration will also be needed.

Bachelor's degree (in quantitatve discipline like Statistics, Mathematics, Finance, Health Administration, Informatics, etc.) preferred or equivalent experience.

• 5-8 years of experience required (health care/clinical is a plus).

• Requires knowledge of Microsoft BI Stack, SQL programming, experience in ETL procedures and writing stores procedures using SQL.

Safeguarding our patients and each other is an important part of how we deliver the best care possible to the communities we serve. As a condition of employment, IU Health requires all new hires to receive various vaccinations, including the influenza and COVID- 19 vaccines, barring an approved exemption.

We are an equal opportunity employer and value diversity and inclusion at IU Health. IU Health does not discriminate on the basis of race, color, religion, sex, sexual orientation, age, disability, genetic information, veteran status, national origin, gender identity and/or expression, marital status or any other characteristic protected by federal, state or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Additional Information

Qualifications for the Senior Information Services Data Analyst Role Overview Indiana University Health adheres to the organization's Code of Ethics and Corporate Compliance, and aligns with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards. Apply for a Senior Information Services Data Analyst with IU Health! This position is in the IS Enterprise department on team Business and Clinical Intelligence. This will be a hybrid-status role so it will have both onsite (Indianapolis) and remote opportunities. Hours will be M-F 40 hours per week with light on-call duties. The role of the Senior Information Services Data Analyst is to turn abstract data into appealing and understandable visualizations to improve our enterprise leaders’ ability to learn new insights from the analyses. A creative thinker who applies their knowledge of user interface and user experience design to visualize data in insightful ways that mix function and graphical design elements will be successful in this position. This will require an understanding of how data can be turned into knowledge and how this knowledge enables key decision processes. An understanding of data access technologies and the requirements for good business analytics and data exploration will also be needed.

* qualifications list Bachelor's degree (in quantitatve discipline like Statistics, Mathematics, Finance, Health Administration, Informatics, etc.) preferred or equivalent experience

Data Analyst Purdue University

Occupation: Business Intelligence Analysts Location: West Lafayette, IN - 47907 Positions available: 1 Job #: 7614349722

Job Description:

Job Summary: The Data Analyst is responsible for compiling, integrating, and analyzing graduate student data to meet reporting needs of the Graduate School and other areas of the University by manipulating data sets. Build queries to extract and analyze enterprise data, and other relevant data sources, using data mining and visualization tools. Prepare accurate and meaningful reports and data visualizations within assigned deadlines.

Respond efficiently and accurately to internal and external requests and surveys. Enhance user accessibility and understanding of the data being presented both through visual design and user education. Maintain documentation standards. Help streamline and improve data collection and reporting. Work with functional and technical staff to assist in resolving internal data integrity issues.

Required: Bachelor's degree. Two or more years of experience preparing, summarizing, presenting, and documenting complex data or technical topics. Consideration will be given to an equivalent combination of required education and related experience. Excellent interpersonal communication, teamwork, organization, and problem-solving skills.

Knowledge of data verification and validation. Advanced knowledge of Microsoft Excel or similar tool for manipulating and integrating data, joining and filtering data sets, graphing, pivoting and automation. Ability to present and summarize complex data and concepts in written, oral, and visual methods. Ability to exercise independent judgment, initiate communications, work under pressure, manage multiple concurrent projects, and consistently meet deadlines. Ability to exercise discretion and maintain confidentiality.

Flexibility in assuming other assignments.

Preferred: Bachelor's or Master's degree in data or computer-related field, including but not limited to social sciences, technical writing, computer science, math, engineering or business. Use of business intelligence/reporting tools such as Cognos, Tableau, Power BI Experience with building dashboards or visualizations. Experience writing and maintaining metadata. Ability to write BI or SAS. Ability to code in SQL, R or Python. Ability to use clear visual language to tell stories with data.

Additional Information: Purdue will not sponsor employment authorization for this position. A background check will be required for employment in this position. FLSA: Exempt (Not Eligible for Overtime)Retirement Eligibility: Defined Contributions Waiting Period. Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.

Data Analyst/Senior Data Analyst Liberty Mutual Insurance

Occupation: Business Intelligence Analysts Location: Indianapolis, IN - 46290

Job Description

At Liberty Mutual, technology isn't just a part of our business, it's what drives us forward. We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as an agile team within a Fortune 100 company, we are on the front edge of an IT transformation of how people work and deliver solutions.

Global Retail Markets (GRM) Data and Analytics Engineering is actively searching for a highly productive member of a distributed, dynamic agile team to serve as a technical expert in analysis, design, coding, and testing innovative data warehouse reporting solutions. This position will support Business Lines within Business Data Solutions Engineering. This is a range posting; the hiring manager is open to a Data Analyst / Senior Data Analyst.

Job Summary:

As a Data Analyst / Senior Data Analyst, you will work collaboratively on a geographically diverse agile team to develop and enhance complex systems and/or software from user stories and technical/architectural specifications. You will analyze complex technical system problems and create innovative solutions that exceed customer expectations.

This is a fast-paced environment providing rapid delivery of a variety of quality data products and Business Lines Profitability and Devo Acceleration efforts. In this role you will work on a highly collaborative team that values speed and quality, with a strong desire to drive change and foster a positive work environment. You will have the opportunity to help lead this change with us as we grow this culture, mindset and capability.

Note: This is a range posting and considering candidates at the Analyst or Senior Analyst level. In this role you will:

Work in a dynamic and exciting agile environment with Scrum Masters, Product Owners, and team members to develop creative data-driven solutions Participate in the evaluation of business requirements

Demonstrate open minded and collaborative approach to creating innovative technical solutions

Analyze data and technical system problems to design and implement effective, flexible solutions

Work with data engineers on development efforts including designing, coding, testing, and debugging during each cycle

Assist in data management deliverables such as business need analysis, data source identification and analysis and data modeling techniques

Identify and recommend appropriate continuous improvement opportunities Additional Information

Additional Information

Qualifications * Bachelor's or master's degree in technical or business discipline or equivalent experience, technical degree preferred * Experience developing back end, database/warehouse technology solutions * Knowledge of a variety of data platforms such as DB2, Teradata, Cloud based databases, Snowflake * Unix, AWS * Extensive experience with SQL and database query tools * Requires critical thinking, data analysis, data profiling and data modeling experience (Data Vault experience a plus) * Knowledge of IT concepts, strategies, methodologies * Experience working with agile methodologies and cross-functional teams (Product Owners, Scrum Masters, Developers, Test Engineers) * Good negotiation and communication skills * Must be team oriented with strong collaboration, prioritization, and adaptability skills required * Must be proactive and self- driven, demonstrated initiative and be a logical thinker. * Strong leadership, communication, collaboration skills with a track record of taking solution ownership Additional Qualifications: * Excited by trying new technology and learning new tools * Experience with Snowflake, SQL Assistant, DBVisualizer * Understanding of insurance industry and products * Python experience a plus At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect.

Data Analyst

Occupation: Business Intelligence Analysts

Location: Fort Wayne, IN - 46845 Positions available: 1 Job #: 14084 Source: QueenConsultingGroupInc

Job Description

This position will extract and analyze complex data sets to develop meaningful, business driven data visuals utilizing Tableau or other data visualization tools. S/he will participate in the design, development, validation of emerging and ongoing metrics, reports, analysis, dashboards, etc. to drive key business decisions. S/he will also conduct hands-on retrieving, compiling and analyzing of large volumes of data from disparate databases into distilled, actionable information and insights. The ideal candidate is curious, open minded, flexible and a fast leaner who seeks to use data to facilitate business driven decisions.

Duties & Responsibilities

Employs strong critical thinking skills to evaluate complex datasets at a fast pace which includes: independent data quality assessments, synthesizing what the data represents, identifying

Extracts and transforms data into a usable format to support decision making. Designs & develops meaningful reports, and appealing visual aids that drive informed dialog and strategy development with internal and external stakeholders. Maintains an understanding of how the data contained in the various systems are utilized to ensure data integrity and develops procedures for increasing the data quality.

Identifies and interprets more complex developments, variances, and trends; researches inconsistencies/anomalies in the data and presents findings to management.

Maintains knowledge on current and emerging business intelligence developments/trends (e.g. analysis practices, tableau featured), assesses the impact, and collaborates with management to incorporate new trends and developments in current and future solutions.

Additional Position Responsibilities

Carries out duties in compliance with all state and federal regulations and guidelines.

Complies with all company and site policies and procedures. Remains current in profession and industry trends.

Makes a positive contribution as demonstrated by: making suggestions for improvement, learning new skills and practices, collaborates well with other, resourceful enough to propose solutions to overcome obstacles, and produces creative visuals that are effective.

Performs other duties as required.

Education & Experience

4 Year/Bachelor' s degree in Management Information Systems, Design, Human Factors, Computer Science or related discipline (Economics, Mathematics, Computer Science, Information Technology) or equivalent work experience (4 years of experience in lieu of Bachelor' s) in Accounting (Minimum Required).

3 + Years of data analytics, data mining, and/or reporting experience that directly aligns to the responsibilities of this position. (Required).

Mastery of the following to query normalized relationship data and dimensional warehouse data: MS Excel, SQL and MySQL.

2+ years of experience writing SQL (e.g. complex views/joins, analytical functions, regular expressions)

2+ years of experience working with data visualization software (e.g. Tableau, PowerBI etc)

At least 1 year of experience with prototyping/mock-ups/storyboards. Understanding of UI/UX design concepts.

Queen Consulting Group is an equal opportunity employer. Our goal is to promote an environment that helps our employees and clients appreciate the benefits that diversity provides.

Additional Job Postings:

Analyst Development Program (Liberty Mutual Insurance, Seattle, Washington) It’s a data-driven world. Be part of a team that harnesses the power of data to analyze performance trends, identify opportunities, and keep Liberty Mutual moving forward.

The details:

Do you love telling stories with data? Are you a bona fide problem solver? Are you looking to jumpstart your career with a global Fortune 100 company straight out of college? Are you looking to dip your toes into modeling and the Data Sciences world?

The Analytics Development Program helps aspiring graduates (like you!) develop a broad knowledge base through training, mentorship, and rotational assignments.

Here’s a fantastic opportunity to hone your critical thinking and analytical skills through a variety of key qualitative and quantitative methods, while growing your technical skills, such as data mining, pricing strategy, and business case development.

Each rotation will offer you a high-level understanding of how we use data analytics in the insurance industry, all while having access to leadership teams throughout Liberty Mutual.

What you’ve got

You have 0-2 years of professional experience.

You hold a bachelor’s degree in Economics, Finance, MIS, Mathematics, Statistics, or a related field with a minimum 3.0 cumulative GPA.

You possess strong analytical and quantitative skills that fuel your passion for identifying and investigating patterns and trends.

You’re good with people and know how to lead.

You have experience with technical programs, including MS Office, and have some knowledge of SAS, R, STATA, and/or SQL.

You must have permanent work authorization in the United States.

Economic Research Analyst (US Dept. of Justice – Antitrust Division)

The Economic Analysis Group in the Antitrust Division of the U.S. Department of Justice is soliciting applications for full-time economic research analyst positions in Washington, DC starting in winter/spring 2022. The Economic Analysis Group has approximately 50 Ph.D. economists who provide economic analysis for antitrust cases brought by the Division. The primary focus of our work is applied microeconomics with an emphasis on competitive interactions between firms in specific markets. Research analysts work closely with staff economists to define relevant product and geographic markets, determine pricing patterns, provide statistical analysis of industry behavior, find trends in large datasets, and prepare materials (such as maps, data, charts, and graphs) that may be required for litigation.

Duties may also include assisting staff economists working on articles for publication in economic journals.

The Economic Analysis Group is looking for detail-oriented, highly motivated individuals interested in economics. This position will be advertised at the GS-7 grade level ($49,157 -

$63,906 (includes DC locality)). A bachelor’s degree with a grade point average of 3.0 or better is required, and you must be a U.S. citizen. Experience in working with spreadsheets, statistics, computer programming, and econometrics is useful. Course work in statistics, econometrics, calculus, computer science, and linear algebra is also useful.

Students graduating by December 2021 preferred.

A formal application through usajobs.gov will be required. By October 27, 2021, please submit a resume, a short writing sample on an economic topic, names and emails of three references, and a copy of your college transcript, via e-mail to:

U.S. Department of Justice Antitrust Division atr.eagra@usdoj.gov

Applications will be considered on a rolling basis.

An Equal Opportunity and Reasonable Accommodation Employer. Drug Test Required.

Appendix 4 Letters of Support

Jack Theising Data Scientist General Motors

Hello Michael,

Thanks for reaching out, and I hope you had a wonderful Thanksgiving as well. I am a data scientist at General Motors in Austin, Texas.

Those are some exciting changes for the Economics programs! The BS described below fits almost ideally with what I do on a day to day basis. For statistical analysis, either R or Python is almost imperative to work in the field, so that would be a great change. Most of what you described (modern economic theory, modeling, and statistical

methods, computational and empirical analysis, such as Analysis of Big Data) fits well with what I do as a data scientist and I can say first hand that those skills are in demand.

For Data Science at GM, we use mainly python for the modeling and data analysis. In addition, many of the data analysts I work with use python as well and almost exclusively analyze and manipulate “big data”. The definition for that is very broad, and I am not sure what the changes in the coursework will entail, but the datasets can be anywhere from 10k to billions that we have to work with. At GM, we have been and are still hiring students with the described skills. I believe those changes will better prepare students for the workforce in any data analytics position.

Let me know if you have any other questions.

Xiaofei Wang

Executive Director of Data Analytics Paramount Pictures

Dear Professor Kaganovich,

Thanks so much for reaching out to me and giving me this opportunity to share my experience and perspective. Please see my response below and definitely let me know if there is anything else I can do for our department at any time.

Reply to questions:

Are students with these skills in demand in the job market?

Yes, they are. In the data science and analytics community in Hollywood, we really need students with solid training in OLS, logistic model, time series model, statistical learning, and machine learning. I know Amazon is specifically looking for economists to help them design and conduct all kinds of experimentation. As media companies, we do a lot of marketing experiments with tech companies like Google, FB, and Amazon. In addition, all streaming platforms are doing testing and experimentation non-stop to see which layout is better, which recommendation system has higher engagement.

Does your hiring team(s) look for college graduates with these skills?

I am leading data science team for Paramount. So my interns and entry-level analysts all need to be graduate students or candidates. Graduate students usually have more academic training and project experiences. So it is easier for them to pass technical interviews and therefore handle projects more independently. Having said that, we would consider exceptional college students especially if this student has helped a professor with any projects or has strong recommendation from a professor. I have hired one college student in the past for a data science team for Disney Studios for a temp position . He did so well that we eventually converted him to full time.

I have been hiring in the past 7 years. I noticed a steady growth in supply in data science/business analytics related fields. But a student with solid academic training in fundamental skills like big data analysis, computational macroeconomics, and the two econometrics classes is always in demand.

Please kindly let me know if you need more info or have more questions. It is always a joy and honor to receive an email from dear IUB.

Best Regards, Xiaofei

Arielle Knudsen Lead Data Scientist Brown-Forman

Dear Dr. Kaganovich,

I hope you are doing well. This sounds like a positive direction in the department's evolution.

From my experience, Economics graduates with experience in R and Python are in demand in the data science field. In particular, the ability to meaningfully assess the validity of models and interpret/communicate the results to a non-technical audience are skills that set candidates apart. My team hires on these skills. Especially in more recent graduates who do not have much industry experience, we typically screen for understanding of analytical models. Independent research projects undertaken during coursework provide us with great examples of their understanding of data/model nuances as well as coding samples.

Arielle Knudsen Lead Data Scientist Brown-Forman

Please let me know if you have any additional questions. Best wishes,

Arielle

Amy Slayten

Career Program Coordinator

Defense Finance and Accounting Service

Good morning,

I apologize for the delay in response. Yes, these skills are in demand and the Data Analytics hiring managers look for these skills in resumes. They say that Python is most relevant and would help the students be more competitive in the government and elsewhere. They have been seeing students who come out of school with R but not Python.

Below is information from our recent entry level 1515 Data Scientist vacancy announcement in case it helps. You can also search for series 1515 or other keywords at www.usajobs.gov.

Degree: in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics.

Specialized experience: is defined as utilizing basic mathematical and statistical theories to extract data; applying routine data processing and procedures to evaluate programs and carry out projects; and provide support in designing and developing studies.

Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Thank you so much, Amy K. Slayten

Career Program Coordinator – DO | S&S | ESS

Human Resources – Talent Management & Integration Team Defense Finance and Accounting Service (DFAS)

8899 E 56th Street Indianapolis, IN 46249

317-212-4854

Appendix 5: Faculty and Staff, Detail

Appendix 6: Facilities, Detail

Not applicable

Appendix 7: Other Capital Costs, Detail

Not applicable

Articulation Planning for New Baccalaureate Degrees

- Cover and Signatures Page -

Articulation Planning for New Baccalaureate Degrees

- Cover and Signatures Page -

Appendix 9

Bachelor of Science in Economics and Quantitative Methods Degree Map

Bachelor of Science, Economics – Requirements

1. Fundamentals of Economics I. One course:

   ECON-B 251 Fundamentals of Economics for Business I ECON-E 251 Fundamentals of Economics I

2. Fundamentals of Economics II. One course:

   ECON-B 252 Fundamentals of Economics for Business II ECON-E 252 Fundamentals of Economics I

3. Intermediate Microeconomic Theory. One course:

   ECON-E 321 Intermediate Microeconomic Theory

   ECON-S 321 Intermediate Microeconomic Theory: Honors

4. Intermediate Macroeconomic Theory. One course:

   ECON-E 322 Intermediate Macroeconomic Theory

   ECON-S 322 Intermediate Macroeconomic Theory: Honors

5. Statistics. One Course:

   ECON-E 370 Statistical Analysis for Business and Economics

   ECON-S 370 Statistical Analysis for Business and Economics: Honors

6. Econometrics. One Course:

   ECON-E 371 Introduction to Applied Econometrics

   ECON-S 371 Introduction to Applied Econometrics: Honors

7. Data Analytics and Computation. Two Courses:

   ECON-E 401 Machine Learning for Economic Data ECON-E 402 Computational Methods in Microeconomics ECON-E 471 Econometric Theory and Practice I

   ECON-E 472 Econometric Theory and Practice II

8. Advanced Electives. Three (3) additional courses:

   All courses in ECON numbered above 322.

9. Free electives. One (1) additional course:

   All courses in the Advanced Electives course list.

   All courses in ECON numbered between 300 and 320, inclusive.

10. Addenda Requirements

    Finite Mathematics. One course:

    1. MATH-M 118 Finite Mathematics Calculus. One course:

1. MATH-M 119 Brief Survey of Calculus I

2. MATH-M 211 Calculus I

Bachelor of Science requirements

The Bachelor of Science degree requires at least 120 credit hours, to include the following:

1. College of Arts and Sciences Credit Hours. At least 100 credit hours must come from College of Arts and Sciences disciplines.

2. Upper Division Courses. At least 36 credit hours (of the 120) must be at the 300– 499 level.

3. College Residency. Following completion of the 60th credit hour toward degree, at least 36 credit hours of College of Arts and Sciences coursework must be completed through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.

4. College GPA. A College grade point average (GPA) of at least 2.000 is required.

5. CASE Requirements. The following College of Arts and Sciences Education (CASE) requirements must be completed:

   1. CASE Foundations

      1. English Composition: 1 course

      2. Mathematical Modeling: 1 course

   2. CASE Breadth of Inquiry

      1. Arts and Humanities: 2 courses

      2. Natural and Mathematical Sciences: 4 courses

      3. Social and Historical Studies: 4 courses

   3. CASE Culture Studies

      1. Diversity in the United States: 1 course

      2. Global Civilizations and Cultures: Not required

   4. CASE Critical Approaches: 1 course

   5. CASE Foreign Language: Proficiency in a single foreign language through the first semester of the second year of college-level coursework

   6. CASE Intensive Writing: 1 course

   7. CASE Public Oral Communication: 1 course

6. Major. Completion of the major as outlined in the Major Requirements section above.

Appendix 10: Exceeding the Standard Expectation of Credit Hours, Detail

Not applicable