Bachelor of Science Degree - Business Data Analytics

The Bachelor of Science degree in Business Data Analytics equips students with the essential knowledge, skills, and experience to create and manage big data initiatives and related business processes that facilitate large-scale business data analytics within organizations.


Students develop both organizational and technical competencies required for tasks such as data gathering, cleansing, integration, and modeling, as well as for analyzing data assets for business applications. The program includes instruction on data warehousing, dimensional modeling, big data analytics methods, and visualization tools and techniques. Additionally, it introduces key topics like data mining and predictive analytics.

Overview

Overview

Degree Requirements:

  • General Education Courses
  • Pre-Business Major Courses
  • Business Core Courses
  • Data Analytics Courses
  • Electives

Degree available Online and in Bismarck and DSUlive

Student Learning Outcomes

A student successfully completing the above major will be able to:

  1. Analyze large and realistic data sets (This learning outcome directly addresses Institutional Learning Outcomes II, III, and VI)
  2. Apply analytical problem-solving techniques used to diagnose, recommend, and communicate solutions to business problems (This learning outcome directly addresses Institutional Learning Outcomes II, III, and VI)
  3. Code solutions to problems in a variety of applications areas using a variety of computer languages (This learning outcome directly addresses Institutional Learning Outcomes II, III, and VI)
  4. Apply their information analytics academic knowledge in the context of professional development. (This learning outcome directly addresses Institutional Learning Outcomes V and VI.)

Career Options

Career Options

Why should you pursue a Bachelor of Science Degree - Business Data Analytics?

Information analytics majors combine ideas from mathematics, business, and computer science to make data-driven business decisions. Data scientists are quickly becoming an important part of the business world.

Possible Career Paths

  • Operations Research Analyst
  • Business Analyst
  • Data Scientist
  • Budget Analyst

Requirements

General Education Course Requirements

UNIV 100 - Freshman Seminar

1
Group I - Communication


A. ENGL 110 College Composition I
3
B. ENGL 120 College Composition II
3
C. COMM 110 Fundamentals of Public Speaking
3
Group II - Citizenship


A.
Technology - CSCI 101 Introduction Computers 3
B.
Global Perspectives - COMM 216 (see Pre Major Core) 3
C. Human Behavior and Governance 3
D. Well-Being 2
Group III - Critical and


Creative Thinking


A.
Creative Expressions 3
B. Literature 3
C. Mathematics - MATH 146 or MATH 104 (see Pre Major Core) 3
D. Social Science - ECON 201 or ECON 202 (see Pre Major Core) 3
E. Natural Science 4
General Education Elective
MATH 305 (see Pre Major Core) 4
Total Credit Hours:41

Grade of "C" or better is required for ENGL 110 and ENGL 120

Pre-Business Major Courses

BADM 201Introduction to Business

3

ACCT 200Elements Of Accounting I

3

ACCT 201Elements Of Accounting II

3

BOTE 210Business Communication

3

BOTE 247Spreadsheet Applications

3

COMM 216Intercultural Communication

3

ECON 201Principles Of Microeconomics

3

ECON 202Principles Of Macro-Economics

3

MATH 146Applied Calculus I

3

MATH 104Finite Mathematics

3

MATH 305Probability and Statistics

4

Total Credit Hours:12

Business Core Courses

Pre-Major courses listed above require a “C” or better (except MATH 146 which requires a passing grade only) before taking the Business Core Courses.

ACCT 315Business Law I

3

BADM 336Management and Leadership

3

BADM 376Production/Operations Management

3

BADM 388Management Information Systems

3

BADM 455International Business

3

BADM 485Business Policy

4

ENTR 366Entrepreneurship

3

FIN 326Managerial Finance

3

MRKT 301Principles of Marketing

3

Total Credit Hours:31

Data Analytics Core Courses

CSCI 160Computer Science I

4

CSCI 161Computer Science II

4

CSCI 181Web Management

3

CSCI 200Database Software Applications

3

CSCI 303Python Programming and Algorithms

3

CSCI 360Database Management

3

CSCI 485Machine Learning and Data Mining

3

CSCI 486Ethical and Socially Responsible Technology

3

OR

CSCI 491Computer Science Seminar

2

MATH 165Calculus I

4

Total Credit Hours:32-33

Computer Science Electives

Select three additional credit hours other than CSCI 101 or CSCI 120
Total Credit Hours:3-4

Total

Total Credit Hours:120