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Upskill in Analytics
The MS Analytics program is a four-semester program focused on applying analytics, artificial intelligence, and emerging technologies to solve real-world business problems. Designed for professionals and recent graduates, the program combines analytical rigor with business application and is delivered live from CityCentre Houston on Tuesday and Thursday evenings, with students participating either in person or online.
Request InformationCurriculum
The Master of Science in Analytics degree is offered by the Mays Business School.
Apply NowA student seeking the 36 semester credit hours Master of Science in Analytics degree must fulfill the requirements listed below. One statistics course completed with a C or better is the prerequisite for the degree. Examples of acceptable courses at Texas A&M University include STAT 301, STAT 302 or STAT 303 or INFO 303 or STAT 651 or equivalent.
- BUAD 679 – Leadership Development
- ANLY 605 – Understanding and Visualizing Data with Modern Tools
- ANLY 620 – Special Topics in Corporate Strategy, Negotiations, and Persuasion with data analytics
- ANLY 615 – Business Database Systems
- MKTG 625 – Marketing Analytics
- ANLY 608 – Regression Analysis
- ANLY 626 – Time Series Analysis
- ANLY 656 – Applied Analytics (Machine Learning)
- ANLY 610 – Deploy Enterprise Data Models & Optimization
Electives:
- ANLY 601 – Advanced Analytics Programming
- ISTM 682 – Platform Analytics
The curriculum continues to evolve alongside advances in analytics and artificial intelligence, with new courses and emerging topics incorporated to ensure students are prepared for how organizations are using data and AI today and where the field is headed next.
Beginning in 2027, the curriculum will include new courses such as:
- Decision Intelligence with Artificial Intelligence
- AI Governance, Risk and Accountability
- Modern Data Architecture and Production AI Systems
Additional courses in artificial intelligence, analytics, and emerging technologies will be introduced in future semesters.
Prerequisites
Work Experience
We require a minimum of 3 years of full-time work experience or for recent graduates we require a minimum of two internships. Applicants who do not meet the work or internship experience criteria will not be considered for the term they’re applying for.
Strong Academic Background
A competitive undergraduate or graduate GPA strengthens the admissions pre-application.
Competitive GMAT Scores
A GMAT score of top 25%. We can waive the requirement after we perform a comprehensive review of an applicant’s academic background.
Organizational Support
We strongly recommend students to seek organizational support from their current employer for access to data and mentorship. We require students to build a predictive model in order to graduate from the program. There are options available for students who can’t get organizational support. Please visit with program staff to find out about options.
Purpose
A well written statement of purpose about how this analytics degree will help your organization.
Statistics Competency
Applicants must have completed a statistics course with a grade of B or better.
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