Business Analytics (M.S.)

Print Degree Planner (opens a new window) |

The Master of Science in Business Analytics prepares students to understand the effective application of analytics to solve business problems. Graduates are equipped to leverage data, statistics, and computing technology to derive insights that improve operational, tactical and strategic decisions. The curriculum enables students to use data analysis to predict and prescribe actions that decrease costs and eliminate inefficiencies, increase revenue and improve organizational effectiveness through data-driven decision making.

Master of Science, Business Analytics: Total 30-33 credit hours

Required Core: Total 27-33 credit hours *

ACCT 511 - Accounting and Finance Fundamentals 3 cr hrs ¹
BADM 720 - Quantitative Analysis 3 cr hrs
DSCI 501 - Marketing and Operations Fundamentals 3 cr hrs ¹
DSCI 505 - Business Analytics Fundamentals 3 cr hrs ²
DSCI 507 - Business Analytics Modeling 3 cr hrs ²
DSCI 519 - Advanced Business Analytics Modeling 3 cr hrs
DSCI 723 - Data Management and Warehousing 3 cr hrs
DSCI 724 - Data Mining for Managers 3 cr hrs
DSCI 725 - Data Mining for Competitive Advantage 3 cr hrs
DSCI 726 - Operational Analytics 3 cr hrs
DSCI 784 - Project Capstone 3 cr hrs

Note:

* The degree will have twenty-seven required core credit hours for business baccalaureates, twenty-seven required core credit hours for STEM baccalaureates, and thirty-three required core credit hours for those students with baccalaureates in neither STEM disciplines nor business disciplines only.

¹ Required for students with non-business baccalaureates

² Required for students with non-STEM baccalaureates

Electives/Nondepartmental Requirements: Total 0-3 credit hours

ACCT 781 - Managerial Accounting 3 cr hrs
BADM 710 - Managerial Finance 3 cr hrs
BADM 760 - Operations Management 3 cr hrs
BADM 770 - Managerial Marketing 3 cr hrs
DSCI 526 - Lean Management 3 cr hrs
DSCI 527 - Supply Chain Management 3 cr hrs
DSCI 541 - Project Management 3 cr hrs
DSCI 727 - Quality and Six Sigma Management 3 cr hrs
ECON 521 - Econometrics 3 cr hrs
ECON 782 - Managerial Economics II 3 cr hrs

Student Learning Outcomes

GOAL #1 Our graduates will demonstrate knowledge of the basic principles of business analytics.

Objectives:

Students will demonstrate adequate knowledge of core business analytics concepts, including predictive analytics, prescriptive analytics, database management, and operational analytics.

GOAL #2 Our graduates will demonstrate critical thinking and experimentation skills to address business analytics problems.

Objective:

Students will employ critical thinking skills in solving business analytics problems.
Students will employ experimentation skills in addressing business analytics problems.

GOAL #3: Our graduates will display professional communication skills.

Objectives:

Students will produce professional documentation for a business analytics solution.
Students will demonstrate professional presentation skills.

GOAL #4: Our graduates will demonstrate ethical business analytics decision making.

Objectives:

Students will adequately evaluate ethical issues in a data mining context.

State Authorization - It Matters Where You Live

If your learning placement course (internship, externship, clinical, rotation, practicum, independent study, study away, etc.) or your online course will be taken outside South Dakota, please reference the State Authorization webpage.

State Authorization