The Master of Science in Applied Statistics and Analytics is a Master's program in data science. It is a two-year program that is designed for students interested in a career that requires advanced knowledge and skills in statistics and data analytics. The curriculum is interdisciplinary involving statistics, computer science, and other disciplines. It is designed to provide students with advanced knowledge and real-world applications in data science, team work, and presentations that are essential in the workplace.
The M.S. in Applied Statistics and Analytics degree has two tracks:
- Applied Statistics Track
- Analytics Track
Students choose the track of study no later than the third semester in the program.
The program requires 30-36 credit hours; including 6 hours of pre-requisites, 27 hours of course work and 3 hours of practicum/internship.
Practicum/internship may take place in a variety of different formats chosen by students. It can be applied research projects supervised by a faculty advisor, an internal or external consulting project, an internship at a company, and so on.
Admission Requirements for M.S. in Applied Statistics & Analytics
To be admitted to the program, candidates must meet the following criteria:
- Applicants must meet all CMU Graduate Studies admission requirements. International students should take note of any special admission considerations required by the College of Graduate Studies, including TOEFL requirements.
- Applicants must have completed a minimum of 12 semester hours of mathematics and/or statistics courses that include the following: MTH 133 (Calculus II) or the equivalent, one course in linear algebra, and one course in statistics or probability. A grade point average of 3.0 in mathematics and statistics course work is required.
- Applicants must submit a Statement of Purpose of at least 100 words and not to exceed two pages. The Statement of Purpose should explain their relevant academic and professional experiences, discuss motivation for applying to the program, and describe their goals after completing the program.
- Both admission to the program and awards of Graduate Assistantships are competitive. Applicants interested in a Graduate Assistantship position must submit a Graduate Assistantship Application along with General GRE scores and three letters of recommendation directly to the Department of Mathematics. Evaluation for Graduate Assistantships is based on the nature of previous coursework, grades, general GRE scores, and letters of recommendation. The deadline for applying for a Graduate Assistantship is February 15. Application materials received after February 15 are considered on a rolling basis until all positions are filled.
Program Requirements for the M.S. in Applied Statistics and Analytics
- Required Prerequisite Courses (0-6 hours)
- STA 580 - Applied Statistical Methods 1 3(3-0)
- STA 584 - Mathematical Statistics 1 3(3-0)
- Required Courses 1 (18 hours)
- STA 575 - Statistical Programming for Data Management and Analysis 3(3-0)
- STA 591 - Data Mining Techniques 1 3(3-0)
- STA 675 - Advanced Statistical Data Management and Simulation 3(3-0)
- STA 684 - Theory of Statistical Inference 3(3-0)
- STA 686 - Multivariate Analysis 3(3-0)
- STA 695 - Practicum/Internship 3(Spec)
- Required Courses II (9 hours) (Select of on the following tracks)
- Applied Statistics Track
- STA 582 - Experimental Designs 3(3-0)
- STA 590 - Applied Statistical Methods II 3(3-0)
- STA 678 - Categorical Data and Survival Analysis 3(3-0)
- Analytics Track
- ITC 510 - Software and Data Modeling 3(3-0)
- ITC 686 - Big Data and Analytics 3(3-0)
- STA 691 - Advanced Data Mining Techniques 3(3-0)
- Elective Course (3-9 hours)
- Students may select elective course work from a variety of options in Statistics, Computer Science, Mathematics, Geographic Information Systems, and disciplines in Business, Health Professions, and other areas.
Total Credit Hours: 30-36