Contact Info
In the three-semester Master of Science in Business Analytics (MSA) program at Olin, we prepare students for today's world of big data. By combining technical programming skills with a rigorous approach to business problem-solving, MSA students gain the tools and the confidence needed to extract strategic insights from vast storehouses of data.
Across every industry, businesses are collecting data — from retail inventory records to hospital patient data to credit card transactions and more — and relying on skilled analysts to stay ahead of business trends, build forecasts, and drive creative solutions to business problems.
Areas of Focus
Students can choose one of five STEM-designated concentrations, focusing on a specific business area of data analytics:
- Accounting Analytics (MSAA)
- Customer Analytics (MSCA)
- Financial Technology ("FinTech") Analytics (MSFTA)
- Healthcare Analytics (MSHA)
- Supply Chain Analytics (MSSCA)
The MSA degree requires the completion of 39 credits, including 18 units of common core credits that build students' analytics knowledge. The core courses focus on skills and tools such as SQL, Python, Tableau, R programming, text mining, big data, and cloud computing.
Master of Science in Accounting Analytics (MSAA)
The MSAA program requires 39 total credits, including 18 common core credits, 13.5 accounting analytics required credits, and 7.5 elective credits (at least 1.5 credits must be an experiential course). Areas of focus include strategic cost analysis, financial reporting and assurance in a blockchain world, accounting policy and research, and ethical decision making in accounting. Please review the curriculum outline for more details.
Master of Science in Customer Analytics (MSCA)
The MSCA program requires 39 total credits, including 18 common core credits, 13.5 customer analytics required credits, and 7.5 elective credits (at least 1.5 credits must be an experiential course). Areas of focus include marketing research, marketing management, digital marketing, and data analysis for brand management. Please review the curriculum outline for more details.
Master of Science in Financial Technology Analytics (MSFTA)
The MSFTA program requires 39 total credits, including 18 common core credits, 15 fintech required credits, and 6 elective credits (at least 1.5 credits must be an experiential course). Areas of focus include financial management, advanced corporate finance, investment theory, methods and practice of financial technology, and a seminar in financial technology. Please review the curriculum outline for more details.
Master of Science in Healthcare Analytics (MSHA)
The MSHA program requires 39 total credits, including 18 common core credits, 12 healthcare required credits, and 9 elective credits (at least 1.5 credits must be an experiential course). Areas of focus include research in healthcare management, health economics and policy, healthcare management, and the business and practice of medicine. Please review the curriculum outline for more details.
Master of Science in Supply Chain Analytics (MSSCA)
The MSSCA program requires 39 total credits, including 18 common core credits, 18 supply chain required credits, and 3 elective credits (at least 1.5 credits must be an experiential course). Areas of focus include operations management, stochastic models, revenue management, and supply chain finance. The Supply Chain Analytics program also requires the completion of an on-campus intensive foundation course that may begin prior to orientation. Please review the curriculum outline for more detail.
Orientation Programs
All Specialized Master’s Programs students kick off their degrees with a multipronged orientation program designed to prepare them for academic, personal and professional success.
Students will participate in various online and in-person orientation activities prior to beginning their fall semester at Olin. SMP Start is a set of online modules that introduce students to the ins and outs of Washington University including policies and procedures, health and wellness, leadership opportunities, and more. SMP Orientation Week includes workshops, events, and cohort overviews including introductions to faculty and advisors. This week is set up to help students with their final preparations before the start of their first semester. Orientation includes career sessions, which serve as catalysts for students to help them get started in their career search. These programs are packed with opportunities for students to bond with their program cohort and to connect with their peers in all of the Specialized Master's Programs.
Students new to the United States may have the opportunity to participate in SMP GO, during which they will acclimate to the Olin Business School culture and strengthen their English and business communication skills.
Simultaneously, students will complete optional online, asynchronous foundation courses to bolster their background and maximize their academic preparation before the start of their degree program.
Master of Science in Business Analytics Common Core Courses
| Code | Title | Units |
|---|---|---|
| DAT 5550 | Machine Learning Tools for Prediction of Business Outcomes | 3 |
| DAT 5561 | Introduction to Python and Data Science | 3 |
| DAT 5562 | Text Mining | 1.5 |
| DAT 5563 | Data Visualization for Business Insights | 1.5 |
| DAT 5564 | Database Design and SQL | 1.5 |
| DAT 5566 | Big Data and Cloud Computing | 1.5 |
| DAT 5567 | Prescriptive Analytics | 1.5 |
| MGT 5600 | Professional Business Communication | 1.5 |
| MKT 5569 | A/B Testing in Business and Social Science | 3 |
Accounting Analytics Concentration (MSAA)
MSAA Required Courses
| Code | Title | Units |
|---|---|---|
| ACCT 5012 | Managerial Accounting | 1.5 |
| ACCT 5013 | Ethics I | 1.5 |
| ACCT 5030 | Business Analysis Using Financial Statements | 1.5 |
| ACCT 5031 | Advanced Business Analysis Using Financial Statements | 1.5 |
| ACCT 5105 | Financial Reporting & Assurance in a Blockchain World | 1.5 |
| ACCT 5550 | Accounting Policy and Research | 3.0 |
| ACCT 5620 | Financial Accounting II (Intermediate Acct) | 3.0 |
MSAA Electives and Experiential Learning
Option A
- 1.5 experiential course credits
- 6 approved elective credits
Option B
- 3 experiential course credits
- 4.5 approved elective credits
MSAA Recommended Elective Course Options
| Code | Title | Units |
|---|---|---|
| ACCT 5004 | Fraud Prevention and Internal Controls | 1.5 |
| ACCT 5005 | Information Technology Control and Audit | 1.5 |
| ACCT 5014 | Ethics II | 1.5 |
| ACCT 5020 | Managerial Control Systems | 1.5 |
| ACCT 5080 | Financial Reporting From the CFO's Perspective | 1.5 |
| ACCT 5090 | Tax and Business Strategy: A Planning Approach | 1.5 |
| ACCT 5360 | Financial Issues in Leasing | 1.5 |
| ACCT 5640 | Auditing | 3.0 |
| ACCT 5670 | Taxation of Individuals | 3.0 |
| ACCT 5680 | M&A Accounting | 3.0 |
| DAT 5565 | Deep Learning for Prediction of Business Outcomes | 1.5 |
| DAT 5571 | Introduction to Cybersecurity | 1.5 |
| DAT 5668 | Agentic AI: Autonomous Decision-Making | 1.5 |
| MEC 5310 | The Global Economy | 1.5 |
| MGT 5785 | Strategic Data Storytelling and Visualization for Business | 1.5 |
Note: All Master of Science in Business Analytics students can count courses from other concentrations toward their elective requirements.
MSAA Experiential Course Options
| Code | Title | Units |
|---|---|---|
| ACCT 5675 | Volunteer Income Tax Assistance | 1.5 |
| MGT 5103 | The Practicum | 3.0 |
| MGT 5105 | Taylor Non-Profit Practicum | 3.0 |
| MGT 5515 | Internship, Business and Application | 1.5 |
Customer Analytics Concentration (MSCA)
MSCA Required Courses
| Code | Title | Units |
|---|---|---|
| MKT 5002 | AI Driven Customer Analytics | 3.0 |
| MKT 5003 | Digital Marketing | 1.5 |
| MKT 5550 | Data Analysis for Brand Management | 1.5 |
| MKT 5551 | Analytics Driven Brand Management | 1.5 |
| MKT 5770 | Marketing Strategy | 3.0 |
| MKT 5800 | Marketing Research Analytics | 3.0 |
MSCA Electives and Experiential Learning
Option A
- 1.5 experiential course credits
- 6 approved elective credits
Option B
- 3 experiential course credits
- 4.5 approved elective credits
MSCA Recommended Elective Course Options
| Code | Title | Units |
|---|---|---|
| CSE 4107 | Introduction to Machine Learning | 3.0 |
| CSE 4507 | Introduction to Visualization | 3.0 |
| CSE 5104 | Data Mining | 3.0 |
| CSE 5105 | Bayesian Methods in Machine Learning | 3.0 |
| CSE 5107 | Machine Learning | 3.0 |
| CSE 5300 | Database Management Systems | 3.0 |
| CSE 5306 | Rapid Prototype Development and Creative Programming | 3.0 |
| DAT 5370 | Data Analysis, Forecasting & Risk Analysis | 3 |
| DAT 5565 | Deep Learning for Prediction of Business Outcomes | 1.5 |
| DAT 5571 | Introduction to Cybersecurity | 1.5 |
| DAT 5668 | Agentic AI: Autonomous Decision-Making | 1.5 |
| FIN 5575 | Introduction to Blockchain and Cryptocurrencies | 1.5 |
| MEC 5660 | Health Analytics | 3.0 |
| MGT 5785 | Strategic Data Storytelling and Visualization for Business | 1.5 |
| MGT 8200 | Empirical Methods in Business: Part B | 3 |
| MGT 8201 | Empirical Methods in Business Part A | 3 |
| MKT 5580 | Pricing Strategies | 1.5 |
| MKT 5581 | Pricing Decision Making & Implementation | 1.5 |
| MKT 5615 | Introduction to GIS and Spatial Mapping | 1.5 |
| MSB 5520 | Introduction to Bioinformatics | 3 |
| OB 5340 | Talent Analytics | 1.5 |
| OB 5350 | People Metrics | 1.5 |
| SDS 4110 | Experimental Design | 3.0 |
| SDS 4210 | Statistical Computation | 3.0 |
Note: All Master of Science in Business Analytics students can count courses from other concentrations toward their elective requirements.
MSCA Experiential Course Options
| Code | Title | Units |
|---|---|---|
| MGT 5103 | The Practicum | 3.0 |
| MGT 5105 | Taylor Non-Profit Practicum | 3.0 |
| MGT 5515 | Internship, Business and Application | 1.5 |
| MKT 5000 | Intensive Industry Project | 3.0 |
| MKT 5315 | Growth Marketing Practicum | 1.5 |
Financial Technology Analytics Concentration (MSFTA)
MSFTA Required Courses
| Code | Title | Units |
|---|---|---|
| FIN 5203 | Financial Management | 3 |
| FIN 5240 | Options and Futures | 1.5 |
| FIN 5250 | Fixed Income Securities | 1.5 |
| FIN 5320 | Investment Theory | 1.5 |
| FIN 5340 | Advanced Corporate Finance I - Valuation | 1.5 |
| FIN 5506 | Fintech: Methods and Practice | 3 |
| FIN 5507 | Seminar in Financial Technology | 3 |
MSFTA Electives and Experiential Learning
Option A
- 1.5 experiential course credits
- 4.5 approved elective credits
Option B
- 3 experiential course credits
- 3 approved elective credits
MSFTA Recommended Elective Course Options
| Code | Title | Units |
|---|---|---|
| CSE 5104 | Data Mining | 3 |
| DAT 5370 | Data Analysis, Forecasting & Risk Analysis | 3 |
| DAT 5565 | Deep Learning for Prediction of Business Outcomes | 1.5 |
| DAT 5571 | Introduction to Cybersecurity | 1.5 |
| DAT 5668 | Agentic AI: Autonomous Decision-Making | 1.5 |
| FIN 5020 | Financial Markets - Institutions, NYC Immersion | 3 |
| FIN 5023 | Venture Capital Methods | 1.5 |
| FIN 5024 | Venture Capital Practice | 1.5 |
| FIN 5025 | Private Equity - Methods | 1.5 |
| FIN 5026 | Private Equity - Practice | 1.5 |
| FIN 5232 | Mergers & Acquisitions | 1.5 |
| FIN 5241 | Derivative Securities | 1.5 |
| FIN 5270 | Financial Markets and Institutions | 1.5 |
| FIN 5280 | Investments Praxis | 3 |
| FIN 5300 | International Finance | 1.5 |
| FIN 5315 | ESG Investing | 1.5 |
| FIN 5321 | Data Analysis for Investments | 1.5 |
| FIN 5330 | Valuing Strategic Corporate Investments | 1.5 |
| FIN 5341 | Advanced Corporate Finance II - Financing | 1.5 |
| FIN 5342 | ACF3: Corporate Financial Strategy | 1.5 |
| FIN 5360 | Financial Issues in Leasing | 1.5 |
| FIN 5400 | Real Estate Finance | 1.5 |
| FIN 5502 | Wealth Management - Practice | 1.5 |
| FIN 5503 | Endowments, Foundations and Philanthropy | 1.5 |
| FIN 5504 | Hedge Fund Strategies | 1.5 |
| FIN 5505 | Behavioral Finance | 1.5 |
| FIN 5575 | Introduction to Blockchain and Cryptocurrencies | 1.5 |
| FIN 5601 | Research Methods in Finance | 3 |
| MEC 5310 | The Global Economy | 1.5 |
| MGT 5101 | Startup Practicum (STL) | 3 |
| MGT 5110 | Law and Business Management | 1.5 |
| MGT 5785 | Strategic Data Storytelling and Visualization for Business | 1.5 |
| MKT 5003 | Digital Marketing | 1.5 |
Note: All Master of Science in Business Analytics students can count courses from other concentrations toward their elective requirements.
MSFTA Experiential Course Options
| Code | Title | Units |
|---|---|---|
| FIN 5110 | Fintech Practicum | 3 |
| MGT 5515 | Internship, Business and Application | 1.5 |
Healthcare Analytics Concentration (MSHA)
MSHA Required Courses
| Code | Title | Units |
|---|---|---|
| MEC 5220 | Healthcare Management | 3 |
| MEC 5630 | Olin Grand Rounds | 3 |
| MEC 5640 | Health Economics and Policy | 3 |
| MEC 5660 | Health Analytics | 3 |
MSHA Electives and Experiential Learning
Option A
- 1.5 experiential course credits
- 7.5 approved elective credits
Option B
- 3 experiential course credits
- 6 approved elective credits
MSHA Recommended Elective Course Options
| Code | Title | Units |
|---|---|---|
| ACCT 5080 | Financial Reporting From the CFO's Perspective | 1.5 |
| DAT 5565 | Deep Learning for Prediction of Business Outcomes | 1.5 |
| DAT 5668 | Agentic AI: Autonomous Decision-Making | 1.5 |
| MEC 5310 | The Global Economy | 1.5 |
| MEC 5550 | Health Insurance in the US | 1.5 |
| MEC 5551 | Drugs and Devices | 1.5 |
| MGT 5785 | Strategic Data Storytelling and Visualization for Business | 1.5 |
| MSB 5520 | Introduction to Bioinformatics | 3 |
| PHFN 5000 | Epidemiology | 3 |
| PHS 5010 | Introductory Clinical Epidemiology | 3 |
| PHS 5011 | Intermediate Clinical Epidemiology | 3 |
| SCOT 5503 | Simulation | 1.5 |
Note: All Master of Science in Business Analytics students can count courses from other concentrations toward their elective requirements.
MSHA Experiential Course Options
| Code | Title | Units |
|---|---|---|
| MGT 5101 | Startup Practicum (STL) | 3 |
| MGT 5103 | The Practicum | 3 |
| MGT 5105 | Taylor Non-Profit Practicum | 3 |
| MGT 5108 | Startup Practicum (Domestic) | 3 |
| MGT 5515 | Internship, Business and Application | 1.5 |
| SCOT 5050 | Boeing Center Supply Chain Practicum | 3 |
Supply Chain Analytics Concentration (MSSCA)
MSSCA Required Courses
| Code | Title | Units |
|---|---|---|
| SCOT 5100 | Operations Management Foundations | 2 |
| SCOT 5300 | Supply Chain Analytics Capstone | 3 |
| SCOT 5310 | Supply Chain Finance | 1.5 |
| SCOT 5503 | Simulation | 1.5 |
| SCOT 5580 | Advanced Operations Strategy | 3 |
| SCOT 5702 | Introduction to Revenue Management | 1.5 |
| SCOT 5721 | Operations Analytics | 3 |
| SCOT 5760 | Foundations of Supply Chain Management | 1.5 |
| SCOT 5906 | Operations and Supply Chain Management Industry Seminar | 1 |
MSSCA Electives and Experiential Learning
- 1.5 experiential course credits
- 1.5 approved elective credits
MSSCA Recommended Elective Course Options
| Code | Title | Units |
|---|---|---|
| CSE 2201 | Internet of Things | 3 |
| CSE 4207 | Cloud Computing With Big Data Applications | 3 |
| CSE 5104 | Data Mining | 3 |
| CSE 5105 | Bayesian Methods in Machine Learning | 3 |
| CSE 5107 | Machine Learning | 3 |
| CSE 5300 | Database Management Systems | 3 |
| CSE 5306 | Rapid Prototype Development and Creative Programming | 3 |
| DAT 5370 | Data Analysis, Forecasting & Risk Analysis | 3 |
| DAT 5565 | Deep Learning for Prediction of Business Outcomes | 1.5 |
| DAT 5571 | Introduction to Cybersecurity | 1.5 |
| DAT 5668 | Agentic AI: Autonomous Decision-Making | 1.5 |
| MEC 5310 | The Global Economy | 1.5 |
| MGT 5785 | Strategic Data Storytelling and Visualization for Business | 1.5 |
| MKT 5580 | Pricing Strategies | 1.5 |
| SCOT 5500 | Project Management | 3 |
| SCOT 5501 | Supply Chain Risk Management | 1.5 |
| SCOT 5568 | Business Management with SAP 1 | 1.5 |
| SCOT 5730 | Operations Management in the Service Industry | 1.5 |
| SCOT 5770 | Supply Chain Innovation and Technology | 1.5 |
Note: All Master of Science in Business Analytics students can count courses from other concentrations toward their elective requirements.
MSSCA Experiential Course Options
| Code | Title | Units |
|---|---|---|
| MGT 5515 | Internship, Business and Application | 1.5 |
| SCOT 5050 | Boeing Center Supply Chain Practicum | 3 |