Studyportals
M.Sc. On Campus

Data Science

University of Massachusetts Dartmouth

12 months
Duration
22183 USD/year
22183 USD/year
12292 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Data Science program of University of Massachusetts Dartmouth prepares you for leadership positions in data analytics, information management, and knowledge engineering. It is jointly offered by the departments of Computer Science in Engineering and Mathematics in Arts & Sciences.

Overview

With a master's degree in data science, you will:

  • develop skills in computer programming, statistics, data mining, machine learning, data analysis, and visualization
  • be prepared to solve challenging problems involving large, diverse data sets from different application domains

You will explore the rapidly emerging fields of data analytics and discovery informatics—which integrates mathematics and computer science for the quantification and manipulation of information from a cognate area of application (such as science, engineering, business, sociology, healthcare, planning).

The Data Science program of University of Massachusetts Dartmouth emphasizes:

  • strong foundations in information theory, mathematics, and computer science
  • current methodologies and tools to enable data-driven discovery, problem solving, and decision-making

Enhance your skills, advance your career

The program is designed for:

  • professionals and organizational leaders who want to take on greater IT responsibilities
  • individuals who aspire to careers using computer information science to support decision-making
  • students who want to learn technological and analysis tools used by leading science, engineering, business, academic, government, and social organizations

Program objectives

The MS in Data Science aims to:

  • meet the growing demand for high-level information systems/science skills
  • provide a path for individuals from diverse fields to rapidly transition to data science careers
  • enable established IT and computing professionals to upgrade technical management and development skills
  • prepare graduates to apply data science techniques for knowledge discovery and dissemination to assist researchers or decision-makers in achieving organizational objectives
  • create innovators, entrepreneurs, and business professionals who will lead the development of next generation information systems

At the time of graduation, students will:

  • be able to apply contemporary techniques for managing, mining, and analyzing big data across multiple disciplines
  • be able to use computation and computational thinking to gain new knowledge and to solve real-world problems of high complexity
  • be able to communicate ideas and findings persuasively in written, oral, and visual form and to work in a diverse team environment
  • apply advanced knowledge of computing and information systems applications to areas such as networking, database, security and privacy, and web technologies
  • be prepared for career advancement in all areas of information science and technology
  • be committed to continuous learning about emerging and innovative methods, technologies, and new ideas—and be able to use them to help others
  • appreciate the professional, societal, and ethical considerations of data collection and use

Programme Structure

Courses include:
  • Data Visualization Workshop
  • Data Science Practicum
  • Database Systems
  • Database Design
  • Advanced Data Mining

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English

Credits

30 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
3
GRE admission requirements GRE®
Required

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Undergraduate degrees in business, engineering, computer science, physical/life/social sciences, mathematics, the liberal arts, and education
  • Statement of purpose: 300 - 600 words
  • Official transcripts
  • Minimum requirements for admission are a 3.0 GPA (out of 4.0), although other evidence of professional competence can be considered for students who do not meet this criteria
  • Official GRE score
  • 3 letters of recommendation
  • Resume
  • Official TOEFL or IELTS scores sent directly from ETS or testing agency

Tuition Fee

To alway see correct tuition fees
  • International

    22183 USD/year
    Tuition Fee
    Based on the tuition of 22183 USD per year during 12 months.
  • National

    22183 USD/year
    Tuition Fee
    Based on the tuition of 22183 USD per year during 12 months.
  • In-State

    12292 USD/year
    Tuition Fee
    Based on the tuition of 12292 USD per year during 12 months.

Living costs for New York City

1819 - 3968 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Data Science
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University of Massachusetts Dartmouth

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