MS in Data Science - logo

Masters Program

Data Science ,

Department of Data Science and Business Intelligence

Overview

MS in Data Science at the prestigious Northeastern University, Boston is an opportunity for students to enhance their knowledge, skills, and career through innovation and research. Being a renowned university, Northeastern University, Boston receives enough funds to ensure the best education facilities for its students across all programs.

This post-graduate program offered on a full time basis has a well-designed curriculum that perfectly blends theory and practical learning. It prepares the students for their professional life to reach new heights of success.

MS in Data Science at NEU is ranked globally by estimated organisations. Such recognition speaks volumes about the course’s importance and effectiveness in the present scenario.

The top-notch faculty, modern facilities, and the aura of creativity and innovation in the NEU campus is a life-changing experience for the students looking forward to kickstarting or upgrading their careers. Overall, a MS in Data Science at Northeastern University, Boston is an excellent opportunity to grow into a learned professional and bring new developments in the world.

Course
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Course Highlights

Program duration

24 Months

Degree type

Data Science and Business Intelligence

Course credits

32


Delivery medium

On Campus


Tuition fees

waived flag Fees mentioned may differ from the actual amount.

Annual tuition fees

$26,650

Full course fees (24 months)

$53,300

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Application Fee

$75

Deadlines

Application Deadline

Rolling

Pre-Requisities

Application pre-requisites

ONLINE APPLICATION APPLICATION FEE 75 UNOFFICIAL TRANSCRIPTS ENGLISH PROFICIENCY TESTS STATEMENT OF PURPOSE LETTERS OF RECOMMENDATION - 3 GRE GENERAL TEST SCORES (NOT REQUIRED FOR SPRING 2022)

Test score requirements

Minimum English Scores

TOEFL

100

IELTS

7.5


Academic Pre-Requisites

  • 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 resume listing detailed position responsibilities
  • Three confidential letters of recommendation
  • Unofficial GRE General Test scores (official scores are only required after admission)
  • Unofficial TOEFL examination scores from international students only (official scores are only required after admission)

Students

753

Yocketers applied

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251

Yocketers admitted

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1,160

Yocketers interested

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Average profile of admits

Masters
GRE

316

TOEFL

104

IELTS

9

Yocketer profiles

Abhinav Bajpai

Abhinav Bajpai

Data Science

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Fall 2021

Sai Nishanth Baladari

Sai Nishanth Baladari

Data Science

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Fall 2022

Rijul Saini

Rijul Saini

Data Science

dot

Fall 2022

Mansi Goel

Mansi Goel

Data Science

dot

Fall 2022

Sri Raksha Gubbihal

Sri Raksha Gubbihal

Data Science

dot

Fall 2022

Opportunities

Experiential learning at CCIS integrates professional work experience into your Master’s degree education. Whether you are changing careers, seeking to deepen your expertise, or are an international student pursuing a new path, our programs will enhance your classroom studies, advance your career, and help you grow intellectually, personally, and professionally. The graduate level co-op program is a voluntary experiential learning option available to students who meet eligibility requirements. It supports full-time students enrolled in Computer Science, Data Science, Health Informatics, Health Data Analytics, or Cyber Security master’s degree programs. There are three primary components to the CCIS graduate co-op process: preparation, job search, and work experience. For the purposes of eligibility, internships and cooperative education are treated as a co-op and not considered separate experiences. The co-op process also includes successful completion of the Graduate Cooperative Education Seminar (CS6949), as well as clearance meetings with your co-op coordinator and abiding by all co-op policies.

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