Key Program Components
This part-time, online program has three components:
- Asynchronous online learning (self-paced)
- Synchronous live weekly meetings with faculty and peers (all held online)
- These meetings take place every Tuesday from 7:00-9:00 pm CST
- Five required in-person immersives
Curriculum Pathways
You can customize your curriculum with pathway options, including tracks in:
- Supply Chain
- Marketing Analytics
Course Schedule
Summer #1
6 credits
- Core: Data Science Programming (3)
- Core: Information Management (3)
Fall #1
6 credits
- Core: Introduction to Machine Learning (3)
- Core: Financial Management (3)
Spring #1
5 credits
- Core: Advanced Machine Learning (3)
- Core: Analytics for Unstructured Data (2)
Summer #2
6 credits
- Core: Optimization-I (2)
- Core: Unsupervised Learning (2)
- Elective (2)
Fall #2
7 credits
- Core: Optimization-II (2)
- Core: Capstone Preparation (1)
- Elective (2)
- Elective (2)
Spring #2
6 credits
- Core: Capstone Project (2)
- Elective (2)
- Elective (2)
Learning Formats
This course is a blend of self-paced online learning and live online classes.
- All courses are held 100% online.
- Courses can be attended from anywhere in the United States.
- The 5 on-campus “immersives” will be held at The McCombs School of Business in Austin, Texas.
Important Dates
Program start date: June 2024
Graduation date: May 2026
Application deadlines:
- Round 1: October 11, 2023
- Round 2: January 10, 2024
- Round 3: March 6, 2024
- Round 4: April 10, 2024
Orientation and First Class Day
Who Attends this Program?
Create Value for Your Organization
Leverage Data to Quantify Business Tradeoffs
Apply Analytics Across Different Business Areas
Impact Decision Making and Make Better Decisions
Gain Career Relevancy for the Long Term
Evaluate Tradeoffs of Emerging Business Models
Influenced by Corporate Leaders
Frequently Asked Questions
Is tuition different in-state vs. out-of-state?
Yes.
- In-state tuition: $48,000
- Out-of-state tuition: $53,000
What tests are required for the application?
Beginning with the 2023-24 admissions cycle, GMAT and GRE test scores are now optional for the Texas McCombs Master of Science Programs! Applicants will not be disadvantaged in the admissions profess if they do not submit test scores, and applicants who feel that their test scores reflect their potential for success in graduate school may submit scores for consideration.
If you opt to submit GMAT, GMAT Focus or GRE scores, you will need to provide your test scores in order to submit your application. While the official score report may reach the Graduate School after we have received your application, you will not be able to submit unless you have entered your scores and at least uploaded an unofficial score report.
Do you factor work experience into admissions decisions, or do you only look at GPA?
A student needs to have at least a 3.0 upper division GPA to be accepted without conditions. We holistically review applications, so both factors are considered.
How does this program differ from the post-graduate program in data science & analytics?
- Career management: This piece is a critical aspect of all MS Programs that sets them apart. One advantage to the MSBA-WP program is access to one-on-one coaching you’ll have for the duration of the program.
- Capstone Project: Another component that sets this program (and all MS Programs) apart, Capstone offers you the opportunity to work with a real-life company to help them resolve a problem. This helps build your resume and network.
- Making connections: Access to people who can broaden your network, both through Capstone and the Advisory Council.
Download the MSBA Comparison Chart to compare the online and in-person programs.
What are some of the prerequisites for this program?
- Strong quantitative skills: Quantitative skills take you a long way when learning new aspects of machine learning, optimization, and when using statistics and understanding data. The program requires some prior background in calculus and statistics, and some quant is needed within the first class.
- Programming experience: You should have higher levels of programming experience related to object-oriented programming and data structures. You’ll need to know beyond the syntax, and understand how to resolve problems using coding and programming. Generally, prior Python, Java, or C++ experience is sufficient, but R or SQL experience does not provide the object-oriented and data structure experience needed. Attend an info session or speak to an Admissions Officer for more detail.
- Strong communication skills: You’ll need to know more than data; it’s important to know how to interpret data and communicate the results beyond just technical skills.
What are the dates and times of the synchronous online sessions?
Synchronous online sessions are two hours long, and will take place on Tuesdays from 7-9pm CST.
QUESTIONS?
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