Introduction

The MSc Data Science programme is designed to bring together skills in data management, analytics and artificial intelligence and to develop the skills you need to design and implement data science projects. This field is expected to make-up at least a quarter of all digital jobs and has been highlighted as a major skills’ gap both locally and internationally.

Apply NowInquire Now
Data Science

Awarding Body

University of the West of England (UWE), Bristol, UK

Mode of Study

Full-Time, Part-Time or Flexible (day or evening) – Block Delivery

Duration

One Calendar Year (three semesters) for full time students and up to 2 Years for Part Time

Fees

OMR 6,500

Minimum Entry Requirements

  1. Bachelor’s degree with a minimum grade of 2:2, Good, GPA 2.7, B”, or equivalent. Relevant subjects include: Computer Science, IT or other computing subjects, Maths, Statistics, any Engineering subject, any quantitative subject such as Physics, Chemistry, Business, Marketing, Economics, Psychology and Social Sciences.
  2. Proficiency in English to a level of 6.0 in Academic IELTS or equivalent.
    Note: Applicants with bachelor’s degrees issued by non-British institutions are required to score 6.5 in Academic IELTS or pass stage-3 of the GCET pre-master training programme with 6.0 in Academic IELTS.

Contact Person

Email : pg@gcet.edu.om or  Tel: 24227960 – 24227965 – 24227903 – 91789204

Why Study our Programme?

  1. You will get a genuine British award from the University of the West of England, Bristol, UK, (recognised worldwide) while studying in Muscat.
  2. The programme is delivered in block flexible mode to suit learners with work or family commitments.
  3. The duration of the programme is only one calendar year.
  4. MSc Data Science is unique in the Sultanate of Oman.

What you will be studying?

  1. The programme is taught through a mix of context, theory and hands-on practice, with both individual and group learning activities built in. Studying the role of a data scientist, you will become familiar with areas such as ethical practice and data for sustainable development; research methods, data gathering and exploratory data analysis; and programming principles (including R, Python and HTML/Javascript).
  2. You will learn to use statistical inference, modelling and analysis, machine learning and predictive analytics and will understand how to store, process and analyse big data. You will build skills in evidence-based communication, argumentation and data visualisation.
  3. You will be able to implement data science projects from end to end, using real data to address business, health and sustainability problems.
  4. You will be able to gain exposure to a range of current data science methods and tools.
  5. You will take part in a substantial interdisciplinary group project and a research dissertation on an aspect of data science.

Where can it take you?

Graduates of MSc Data Science programme are prepared for a wide range of career paths as well as for pursuing PhD studies. Your knowledge of the latest data science methods and tools will put you in a strong position to secure work such as a business intelligence (BI) analyst, big data engineer, database administrator, data architect, machine learning engineer, statistician, data scientist, business analyst or develop a career path toward chief data officer. On completion, graduates will have experienced individual and group projects, which enable them to work independently and, in a team to manage complex projects.

Programme Structure

MSc Data Science – Programme Structure (2020-2021)

Semester-1 Interdisciplinary Group Project(UFCFWQ-45-M) Statistical Inference(UFMFHR-15-M) Programming for Data Science (UFCFVQ-15-M) Data Management Fundamentals(UFCFLR-15-M)
Semester-2 Interdisciplinary Group Project(UFCFWQ-45-M) Option A Option B
Semester-3 Dissertation (UBLLY7-60-M)

Options A and B will be selected from

Module Code Module Name
UFCFKR-15-M Business Intelligence and Data Visualisation
UFCFMJ-15-M Machine Learning and Predictive Analytics
UCFCFLJ-15-M Linked, Open Data and the Internet of Things
UFCFKJ-15-M Cloud Computing
UFCFGD-15-M Information and Knowledge Management
UFCE8J-15-M Designing the User Experience
UFCF8H-15-M Big Data
UFCFJJ-15-M Social Media and Web Science
UFMFJR-15-M Advanced Statistics

Note: Elective Modules offerings are subject to minimum enrollment of seven students.