Data Science

• This is an interdisciplinary program between Northeastern’s Khoury College of Computer Sciences and the College of Engineering.
• Courses are tailored toward technically or mathematically trained students.

All Roux Institute programs provide content relevant to the urgent and emerging needs of industry in Maine and the rapidly evolving regional, national, and global economy. Opportunities for experiential learning will be concentrated in Portland, the state of Maine, and the Northeast region. Students are encouraged to pursue co-ops and special virtual Experiential Network projects with the institute’s founding corporate partners, a group of leading employers in Maine.

Northeastern’s MS in Data Science graduates have found success in a wide range of industries and positions:

• Data science analyst at MFS
• Fixed income quantitative researcher at State Street Corporation
• Data analyst at TJX
• Data analyst at Stop & Shop
• OCR imaging/natural language processing engineer at iQuartic
• Machine learning/OPS engineer at New York Life

Applicants must submit the online application and all required admission materials no later than the stated deadlines to be considered for admission. Admissions decisions are made on a rolling basis.

• Online application and fee

• Unofficial undergraduate/graduate transcripts (you can submit official transcripts from all colleges/universities attended at the time of admission)

• Statement of purpose that should include career goals and expected outcomes and benefits from the program

• Recent professional resumé listing detailed position responsibilities

• Three confidential letters of recommendation

• Recommended TOEFL (90 minimum) or IELTS (6.5 minimum) examination scores (international students only)

• 3.0 on a 4.0 scale

• 8.0 on a 10.0 scale

• 80 on a 100 scale

• GRE is optional

• Duolingo language test also accepted

Prerequisite Courses

The Master of Science in Data Science curriculum is tailored toward technically or mathematically trained students. To ensure that all students have the foundation necessary to be successful in this program, each incoming student must either complete two introductory courses at Northeastern or complete two placement exams administered one week prior to the beginning of the semester. The two exams cover fundamentals of computer science and programming skills and basic statistics, probability, and linear algebra. This admission requirement can also be fulfilled by successful completion of Introduction to Programming for Data Science (DS 5010) and Introduction to Linear Algebra and Probability for Data Science (DS 5020). The introductory courses are not counted as credit toward the degree but are included in the student’s cumulative grade-point average.