Statistics

Customize your master’s in statistics by enrolling in the concentration that best aligns with your industry, area of interest, or professional goals.

Biostatistics

Through rigorous coursework covering topics like causal inference, survival analysis, and the design and analysis of clinical trials, students gain proficiency in modern statistical software and advanced biostatistical techniques. Students gain hands-on experience from projects in class, capstone projects, or statistical consultancy opportunities.

This concentration uniquely prepares students to analyze and interpret data in biotech, healthcare, and biomedical research. Key features include specialized coursework in clinical trial methodology, causal inference, and experimental design. Graduates are well-equipped for impactful careers in pharmaceuticals, biotech, academic and clinical research settings, government health agencies, and other private sector companies, contributing to the improvement of health outcomes and policy-making.

Statistical machine learning

This concentration gives students practical skills in database management and advanced knowledge of AI and machine learning techniques to analyze complex data and develop predictive models for various applications. The curriculum covers a wide range of topics with a strong emphasis on practical implementations. Students engage in hands-on projects and research utilizing cutting-edge software and tools. Graduates are prepared for careers in technology, finance, healthcare, and research, where they can contribute to developing and applying machine learning algorithms.

The curriculum follows a uniquely interdisciplinary approach, combining statistical methods and computer science to equip students with the skills to analyze complex data and develop predictive models. This concentration features state-of-the-art computer science facilities, AI courses, machine learning and deep learning, data management, and advanced computing resources, giving students practical experience and the necessary industry connections to excel in the fields of technology, finance, healthcare, and research.

Statistical theory and modeling

This concentration offers comprehensive training in the fundamental principles of machine learning, statistical learning theory, and statistical and probabilistic modeling techniques to analyze and interpret complex data across diverse fields. The curriculum includes courses in advanced machine learning and statistical learning theory, probability theory, mathematical statistics, and various modeling approaches. Students develop strong analytical and problem-solving skills and gain experience and proficiency in statistical software through real-world data analysis.

Students also delve deeply into the mathematical and theoretical aspects of statistics. The concentration emphasizes critical thinking and strong analytical and problem-solving skills. Graduates are equipped for careers in academia, government, industry, and research organizations, where they can apply their expertise in statistical theory and modeling to solve complex problems.

• Northeastern’s program is grounded in real-world applications and foundational theory. The program blends foundational theory with applied coursework to deepen students’ understanding of advanced statistics while preparing them to start and advance in careers that use statistical skills across a variety of industries and fields.
• The modern-day curriculum prepares learners to succeed no matter what profession they are in.
• Students can focus their studies on biostatistics, machine learning, and modeling. Concentrations offered through this program should be leveraged as a unique differentiator to support the growth in demand across key sectors.
• This program is STEM-certified

• Application

• Application fee

• Two letters of recommendation

• Transcripts from all institutions attended

• Personal statement

• Resumé

• GRE is not required

• English language proficiency: 

  • Degree earned or in progress at a U.S./Canadian institution

  • Degree earned or in progress at an institution where English is the only medium of instruction

  • Official exam scores from either the TOEFL iBT (institution code is 3682), IELTS, PTE exam, or Duolingo English Test. Scores are valid for two years from the test date.