Statistics

The Bachelor of Science in Statistics at Michigan State University is a comprehensive undergraduate program designed to equip students with the fundamental skills and knowledge necessary to analyze and interpret data across a wide range of fields. This program emphasizes both theoretical foundations and practical applications, preparing graduates to address real-world problems using statistical methods and computational tools. Students will gain a strong understanding of probability theory, statistical inference, regression analysis, experimental design, and data visualization, alongside introductory coursework in programming languages such as R and Python. The curriculum also offers specialization options in areas such as data science, biostatistics, and applied statistics, allowing students to tailor their education to their career interests. Throughout the program, students are encouraged to engage in collaborative projects, internships, and research opportunities that foster hands-on experience and professional development. The faculty comprises experienced statisticians and data scientists who are experts in their fields, providing mentorship and cutting-edge insights into current trends and advancements in statistics. By the time of graduation, students will be well-prepared for careers in data analysis, statistical consulting, research, or for further study in graduate programs. The program supports students in developing critical thinking, problem-solving skills, and ethical data practices, all essential qualities for success in today's data-driven world. With MSU's strong connections to industry, government agencies, and research institutions, graduates of the Statistics program are highly sought after in various sectors, including healthcare, finance, sports analytics, technology, and public policy. The Bachelor of Science in Statistics at Michigan State University offers a rigorous and engaging educational experience designed to open pathways to rewarding careers and innovative research opportunities.

• 867 Linear Models Methodology (Fall, every year)
• 868 Mixed Models: Theory, Methods, and Applications (Spring, every year)
• 872 Statistical Inference I (Spring, every year)
• 873 Statistical Learning and Data Mining (Fall, odd years)
• 874 Introduction to Bayesian Analysis (Fall, even years)
• 951 Statistical Inference II (Spring, odd years)
• 953 Asymptotic theory (Spring, even years)
• 961 Weak convergence and Asymptotic Theory (Fall, odd years)
• 962 Fractional Processes and Power Laws (Spring, even years)
• 964 Stochastic Analysis (Spring, odd years)
• 996 Advanced Topics in Probability (Fall,Spring, Summer)
• 997 Advanced Topics in Statistics (Fall, Spring, Summer)
• 999 Phd Dissertation Research Credits 24 minimum; 36 maximum 

1. MSU Graduate Application at http://grad.msu.edu/apply/online.aspx
   Our majors are:
   (3871) MS Applied Statistics; (3875) MS Statistics; (3877) PhD Statistics
2. Application to the Department of Statistics and Probability, which you complete by logging into http://www.admissions.msu.edu/gradportal using your applicant ID and password issued when you completed the MSU Graduate Application.
3. Three letters of recommendation are required and these are included in the Graduate Portal also. There is a place for you to list the name and email of your recommenders and they will be contacted and asked to upload a letter for you. Do not have hard copy letters of recommendation mailed. They must be submitted through the Graduate Portal.
4. Advanced Mathematics Profile (Click here for link; upload in Graduate Portal)
5. Statement of Purpose (Upload in Graduate Portal)
6. Official transcripts of all college work (undergraduate and graduate), including diplomas and certificates. These are to be sent to our Department directly from the school(s) which you attended.
7. GRE – The GRE test is required. Sub tests are not required. Test Scores are submitted to the Michigan State University Graduate Admissions Office by the Educational Testing Service. The Institutional Code for MSU is 1465. No department code is necessary.
8. TOEFL Scores (for International Students Only) Test Scores are submitted to the Michigan State University Graduate Admissions Office by the Educational Testing Service. The Institutional Code for MSU is 1465. No department code is necessary.
   Please note that the Department of Statistics and Probability requires TOEFL and we do not accept other language tests.
   The minimal TOEFL scores required for regular admission are:
   Reading 19; Listening 19, Speaking 19, Writing 22. Plus 1 more point on any of these topics to make a total of 80 points.
9. Affidavit of Support (only for International Students who are not applying for an assistantship) Your Affidavit of Support along with a certified bank statement may be uploaded into the Graduate Portal.

Scholarships

Graduate teaching and research assistantships with generous monthly stipends, tuition remission, and health benefits are available and over 90 percent of our current students are supported. University fellowships, dissertation completion fellowships, summer research fellowships, and stipends for travel to academic conferences round out the resources available for students

The Statistics undergraduate program at Michigan State University provides students with a comprehensive education in the fundamentals and applications of statistical methods and theory. The curriculum is designed to equip students with the analytical skills necessary to interpret data, build models, and make informed decisions across various fields including healthcare, government, business, and research. Students gain a strong foundation in probability, statistical inference, regression analysis, experimental design, and data analysis techniques. The program emphasizes both theoretical understanding and practical application, ensuring graduates are well-prepared for careers in data analysis, research, and decision support roles, or for further study in graduate programs.

Michigan State University's Statistics program offers a blend of coursework in mathematics, computer science, and applied statistics to foster versatile skill sets. Students have access to state-of-the-art computing facilities and software, allowing them to gain experience with modern data analysis tools such as R, SAS, and Python. The program encourages participation in research projects, internships, and collaborations with industry partners to provide real-world experience. A variety of elective courses enable specialization in areas such as bio-statistics, big data, machine learning, or statistical consulting.

The department regularly updates its curriculum to reflect advancements in statistical methodologies and emerging data-driven industries. Students are also provided with opportunities for professional development through seminars, workshops, and conferences. The program aims to prepare graduates not only for diverse career paths but also to contribute significantly to research and development in statistical sciences. The faculty members are active researchers seeking to advance methods in statistical science and to apply these techniques in interdisciplinary settings. Overall, Michigan State University’s Statistics program offers a rigorous and relevant education that equips students with the skills and knowledge to excel in a data-centric world.