Master of Science in Business Analytics  Online

Stand out as a business leader who understands how to create profit and growth for any company by utilizing data science, artificial intelligence and machine learning.

Apply by: 8/4/24
Start class: 8/19/24
Apply Now

Program Overview

Earn a respected Master of Science in Business Analytics online

Become savvy with current and upcoming technologies when you earn a Master of Science in Business Analytics degree from SIU Carbondale. The 100 percent online coursework in this AACSB-accredited program teaches you how to find critical problems within an organization, apply analytical models and transform volumes of data into usable information to foster strategic and lucrative business decisions. Built with insight from some of the world’s most successful companies, the M.S. in Business Analytics online program ensures you graduate with cutting-edge experience.

As the demand for business analysts grows, so does the need for specialized knowledge. To help you pursue your unique professional interests, you will complete a customizable capstone project and choose an elective that matches your specific goals. Dynamic core curriculum focuses on your development as a leader and explores topics such as accounting, organizational behavior, strategic data mining and database design.

As a student of this M.S. in Business Analytics program, you will:

  • Develop techniques for strategic knowledge discovery in structured and unstructured data, from pre-processing and transformation to model validation and post-processing
  • Plan, design and implement the application of diagrams and hierarchical, network, relational and object-oriented data modeling
  • Acquire the knowledge to model data, databases, statistics and AI to produce effective solutions, predictions and insights
  • Develop techniques for strategic knowledge discovery in structured and unstructured data, from pre-processing and transformation to model validation and post-processing
  • Plan, design and implement the application of diagrams and hierarchical, network, relational and object-oriented data modeling
  • Acquire the knowledge to model data, databases, statistics and AI to produce effective solutions, predictions and insights

Business Analytics Careers:

  • Business Intelligence Analyst
  • Data Scientist
  • Data Analyst
  • Data Architect
  • Chief Data Officer
  • Business Intelligence Analyst
  • Data Scientist
  • Data Analyst
  • Data Architect
  • Chief Data Officer

Also available:

Southern Illinois University Carbondale offers specialized degrees that can help you grow personally and professionally. Learn about our other business analytics programs.

Southern Illinois University Carbondale offers specialized degrees that can help you grow personally and professionally. Learn about our other business analytics programs.

Total Tuition $19,440*
Duration As few as 14 months
Credit Hours 36

Accreditation

AACSB Logo Horizontal

Southern Illinois University Carbondale is an accredited member of AACSB International. SIU Carbondale is among the fewer than 2 percent of the world's schools offering business degree programs to hold supplemental AACSB accounting accreditation.

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Need More Information?

Call 855-741-0087

Call 855-741-0087

Tuition

Our online M.S. in Business Analytics program by the numbers

At SIU, we believe that education should be accessible to all, and that’s why the M.S. in Business Analytics online program’s tuition is budget-friendly and paid by the course.

Tuition breakdown:

Total Tuition $19,440*
Per Credit Hour $540

Calendar

Get off to a fast start with our academic calendar

Our Master of Science in Business Analytics online program is delivered in a 100 percent online format, giving you the freedom to fulfill professional and personal responsibilities while enrolled. Choose the start date that best suits your schedule.

TermStart DateApp DeadlineDocument DeadlineRegistration DeadlineTuition DeadlineClass End DateTerm Length
Fall 18/19/248/4/248/9/248/14/248/19/2410/10/248 weeks
Fall 210/14/249/29/2410/4/2410/9/2410/14/2412/13/248 weeks
Spring 11/13/2512/29/241/3/251/8/251/13/253/7/258 weeks
Spring 23/17/253/2/253/7/253/12/253/17/255/9/258 weeks

Now enrolling:

Next Apply Date 8/4/24
Start Class 8/19/24

Ready to take the next steps toward earning your degree?

Apply Now

Admissions

What you’ll need to apply to SIU Carbondale online

Apply to the Master of Science in Business Analytics program and prepare to unleash your potential, discover your passions, and create a future that reflects your unique aspirations.

Admission Requirements:

  • Resume
  • Transcripts
  • 2.7 Undergraduate GPA

For admission into the M.S. in Business Analytics online program, you must meet the streamlined requirements below.

  • Submit graduate application
  • A 2.7 undergraduate GPA from a regionally accredited institution
  • Transcripts from all institutions attended (official transcripts are needed prior to the second term, but not needed to apply as unofficial are accepted)
  • Resume or CV
  • One of the following:
    • Three years of professional experience (noted in resume), OR
    • A business degree (noted in transcripts), OR
    • A personal statement (uploaded to application)

Official transcripts and other documents should be sent from the granting institutions to our Graduate School.

Email address: [email protected]

Mailing address:
Southern Illinois University Carbondale
Graduate School
1263 Lincoln Drive MC 4716
Carbondale, IL 62901

Admission Requirements:

  • Resume
  • Transcripts
  • 2.7 Undergraduate GPA

Courses

Explore the courses in your online Master of Science in Business Analytics program

The M.S. in Business Analytics curriculum is comprised of 12 courses, including four core business courses, seven core analytics courses and one elective, totaling 36 credit hours.

Students must select 4 of the 5 courses below. 

Duration: 8 Weeks weeks
Credit Hours: 3
Basic cost concepts, measures, methods and systems of internal accounting useful for managerial planning, implementation, control and performance evaluation. Includes cost analysis relevant for non-routine decision-making. Prerequisites: Accounting, Finance, and Economics Foundation Area, or ACCT 220, or equivalent. Not available to students who were undergraduate accounting majors. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
The study of the development of competitive strategy for the operations and supply chain function, frameworks and tools used to implement operations and supply chain strategy, and how the operations and supply chain function contributes to an organization's competitive capabilities in the global marketplace. Prerequisite: Business Analytics I Foundation Area or equivalent. Restricted to enrollment in the College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
Provide a broad overview of basic concepts, principles, and recent innovations in financial management. Topics covered will include risk and return, valuation, capital budgeting, capital structure and cost of capital, dividend policy, financial planning, international financial management and corporate restructuring. Prerequisite: Accounting, Finance, and Economics Foundation Area or equivalent. Not available for students who have credit for FIN 361 or were undergraduate finance majors. Restricted to enrollment in College of Business and Analytics graduate program or consent of the department.
Duration: 8 Weeks weeks
Credit Hours: 3
Case analyses of human problems in the business organization. Application of findings of behavioral science research to organization problems. Development of direction and leadership skills. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
A managerial approach to the study of marketing. Emphasis is on the nature and scope of the marketing manager's responsibilities and on marketing decision making. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.

Students must complete all 7 core analytics courses below.

Duration: 8 Weeks weeks
Credit Hours: 3
Concepts and techniques for strategic knowledge discovery in structured and unstructured data from pre-processing and transformation to model validation and post-processing. Real-world examples and cases to put data mining in context and to illustrate how the application of data mining can lead to better strategic data-based decision making. *Restricted to enrollment in College of Business and Analytics graduate program or consent of the department.
Duration: 8 Weeks weeks
Credit Hours: 3
This course provides an introduction of data science and analytics from a real-world perspective through interviews with technical staff, managers, and executives. In addition, the course teaches the statistical foundations needed for data science and analytics. *Restricted to enrollment in College of Business and Analytics graduate program or consent of the department.
Duration: 8 Weeks weeks
Credit Hours: 3
Provides a broad overview of basic concepts, principles, and recent innovations in Data Science. Data Science is the study of the extraction of knowledge from data. Data Science includes good domain knowledge, data modeling, database, statistics, and AI to produce effective solutions, predictions, and insights. This course will give a practical introduction to business analytics using databases, data warehouses, structured, and unstructured data from a cross-section of industries. *Restricted to enrollment in College of Business and Analytics graduate program or consent of the department.
Duration: 8 Weeks weeks
Credit Hours: 3
The goal of Artificial Intelligence (AI) is to have a machine that can perform the cognitive functions of the human mind such as learning and thinking. This course is an introduction to artificial intelligence and how it can be combined with data analytics to create a powerful tool for better decision making. *Prerequisite: BA 525 or equivalent. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
This course will introduce students to the field of data visualization. Data visualization is the science of stripping data down to its most important structures and then using the best techniques to take advantage of human perception for effective communication, decision making, and persuasion. Students will learn how to present data in the most efficient, effective, and aesthetic for decision making. *Prerequisite: BA 525 or equivalent. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
This is the capstone course in data analytics. Students will apply techniques learned in analytics, data science, artificial intelligence, and visualization in a variety of real world scenarios. Emphasis is on creative, abstract, and integrative thinking in executing a program in data analytics and managing the data analytics function. *Prerequisite: BA 525, BA 526, and BA 527 or equivalent. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
Database planning, design and implementation; application of data modeling techniques-entity-relationship diagrams, hierarchical, network, relational and object-oriented data modeling; physical design and data administration; Distributed and Expert Database Systems. *Restricted to enrollment in College of Business and Analytics graduate program or consent of department.

Students to pick 1 of the courses below.

*Note - the Independent Study course is for those whose interests are not in the offered 529 classes. It should be selected as a last resort, or if a unique/compelling project presents itself. Otherwise, BA 529A-E should be selected.

Duration: 8 Weeks weeks
Credit Hours: 3
Use of analytics and accounting concepts and techniques. How structured and unstructured accounting data are obtained, validated, processes, and used in making descriptive and predictive models. The use of accounting analytics for better data-based accounting decision making. *Prerequisite: BA 510, or baccalaureate accounting degree, or equivalent. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
Use of analytics and finance concepts and techniques. How structured and unstructured financial data are obtained, validated, processed, and used in making descriptive and predictive models. The use of financial analytics for better data-based financial decision making. Prerequisite: BA 530, or FIN 361, or baccalaureate finance degree, or equivalent. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
Use of analytics and marketing concepts and techniques. How structured and unstructured marketing data are obtained, validated, processed, and used in making descriptive and predictive models. The use of marketing analytics for better data-based marketing decision making. Prerequisite: BA 550, or baccalaureate marketing degree, or equivalent. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
Use of analytics and management concepts and techniques. How structured and unstructured management data are obtained, validated, processes, and used in making descriptive and predictive models. The use of management analytics for better data-based managerial decision making. *Prerequisite: BA 540, or baccalaureate management degree, or equivalent. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
Use of analytics and supply chain concepts and techniques. How structured and unstructured supply chain data are obtained, validated, processed, and used in making descriptive and predictive models. The use of supply chain analytics for better data-based operations decision making. Prerequisite: BA 522, or baccalaureate business degree with supply chain management specialization, or equivalent. Restricted to enrollment in College of Business and Analytics graduate program or consent of department. *Prerequisite: BA 522, or baccalaureate business degree with supply chain management specialization, or equivalent. Restricted to enrollment in College of Business and Analytics graduate program or consent of department.
Duration: 8 Weeks weeks
Credit Hours: 3
Directed independent study in selected areas of business administration. May be repeated as topics vary. *Restricted to enrollment in College of Business and Analytics graduate program. Student must have prior permission to register for this course.

*Tuition does not include fees.

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