Studyportals

Data Science

Saint Mary's College

M.Sc. Online
24 months
Duration
675 USD/credit
675 USD/credit
Unknown
Tuition fee
Passed
Unknown
Apply date
Unknown
Start date

About

At this Data Science program offered by Saint Mary's College, you'll develop a strong mathematical base - an enduring skill set in an ever-changing world - that will allow you to take on complex data challenges now and in the future, no matter what programming language you're using.

Overview

What You Will Learn

  • Analysis of large, complex data sets in the context of real-world business problems
  • Application and fine tuning of computing resources for data analysis, including programming and industry-standard tool use
  • Development and implementation of data analysis strategies based on theoretical principles and detailed knowledge of the underlying data
  • Generation of actionable intelligence for decision making
  • Clear and professional communication of nuanced analysis results to a diverse, varyingly technical audience
  • Rigorous application of mathematical principles to the analysis of data
  • Evaluation, implementation, and the assessment of the application of technology solutions for data analysis

To you, data isn’t merely numbers. It has the potential to provide solutions that improve efficiency and effectiveness—even lives—through its application. In our Master of Science in Data Science program at Saint Mary's College, a Professional Science Master’s (PSM) program, you'll develop into a professional practitioner with deep analytical skills. Become a well-rounded individual who has deep knowledge in data science coupled with the ability to communicate effectively and manage projects. 

PSM programs combine rigorous study of mathematics or science with workplace skills like communication and project management. You'll take courses in applied statistics with an application-focused approach to regression analysis and related techniques - knowledge companies prize in data scientists - as well as understand the algorithms of data mining, processing, and visualization. Engage in a real-world practicum that involves developing data analysis tools and applying them to a pressing need at an organization. Most important, you'll learn to manipulate data rather than performing simple surface analysis.

Programme Structure

Courses include: 

  • Applied Linear Algebra
  • Applied Statistics 
  • Computer Programming
  • Data Analytics and Outcomes Improvement 
  • Database Systems
  • Professional and Technical Writing

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

36 alternative credits

Delivered

Online

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
3
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
Required

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
80
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5

Other requirements

General requirements

  • A bachelor’s degree from a regionally accredited school, or the international equivalent
  • Candidates should possess familiarity with core competencies which may be demonstrated by education or experience
  • Education - bachelor's degree in mathematics, business, computer science, information systems, the sciences, health science, quantitative social science or related field; the most competitive candidates will have at least a 3.0 cumulative GPA in undergraduate coursework
  • Experience - relevant work experience in a technical or quantitative area
  • Official transcripts
  • Current resume or Curriculum Vitae
  • One letter of recommendation 
  • Personal statement 
  • Optional video interview

Tuition Fee

  • International

    675 USD/credit
    Tuition Fee
    Based on the original amount of 675 USD per credit and a duration of 24 months.
  • National

    675 USD/credit
    Tuition Fee
    Based on the original amount of 675 USD per credit and a duration of 24 months.

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.

Getting a Student Visa

This is an online programme. You can attend from the comfort of your chair! So you don't need a student visa!

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Data Science
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