Master of Data Science Program By HELP University |Top Universities
Scholarship

YesScholarships

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

The programme aims to produce graduates to meet the growing demand for data science professionals who are capable of making decisions based on the availability of comprehensive data. It prepares graduates to apply analytics techniques for knowledge discovery and dissemination to assist researchers or decision-makers in achieving organisational objectives. The objectives of the Master of Data Science are to produce graduates who are able to:

  • Apply quantitative modelling and data analysistechniques to the solution of real world business problems, communicate findings, and effectively present results using data visualisation techniques
  • Recognise and analyse ethical issues in business related to intellectual property, data security, integrity, and privacy
  • Demonstrate knowledge of statistical data analysis techniques utilised in decision-making.
  • Use data mining software to solve real-world problems
  • Employ cutting edge tools and technologies to analyse Big Data
  • Apply algorithms to build machine intelligence
  • Demonstrate use of team work, leadershipskills and decision making

Program overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

The programme aims to produce graduates to meet the growing demand for data science professionals who are capable of making decisions based on the availability of comprehensive data. It prepares graduates to apply analytics techniques for knowledge discovery and dissemination to assist researchers or decision-makers in achieving organisational objectives. The objectives of the Master of Data Science are to produce graduates who are able to:

  • Apply quantitative modelling and data analysistechniques to the solution of real world business problems, communicate findings, and effectively present results using data visualisation techniques
  • Recognise and analyse ethical issues in business related to intellectual property, data security, integrity, and privacy
  • Demonstrate knowledge of statistical data analysis techniques utilised in decision-making.
  • Use data mining software to solve real-world problems
  • Employ cutting edge tools and technologies to analyse Big Data
  • Apply algorithms to build machine intelligence
  • Demonstrate use of team work, leadershipskills and decision making

Admission requirements

Undergraduate

500+
2+
5+

Any one of the following:

  • A Bachelor’s degree or its equivalent, with a minimum CGPA of 2.75; OR
  • A Bachelor’s degree or its equivalent, with a minimum CGPA of 2.50 and not meeting CGPA of 2.75, can be accepted subject to a rigorous internal assessment process; OR
  • A Bachelor’s degree or its equivalent, with CGPA between 2.00 and 2.50, with a minimum of 5 years’ working experience in a relevant field may be accepted subject to a rigorous internal assessment process.
Jan
Jun

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

banner
download_icon Download Scholarship Guide

More programs from the university

Discover the full list of undergraduate programmes here:

  • Faculty of Business, Economics and Accounting
  • Faculty of Behavioural Sciences
  • Faculty of Computing and Digital Technology
  • Faculty of Education and Languages
  • HELP Matriculation Centre
  • Faculty of Law and Government
  • Faculty of Arts and Communication
  • Centre for Continuing Professional Development

 
You can find the undergraduate entry requirements via the HELP website admissions section.

Postgrad programs