Bachelor of Science in Data Science and Analytics

University of Professional Studies · Faculty of Information Technology & Communication Studies

Degree Computing & Information Technology Less competitive

Will you get in?

Meet the minimum pass grades for this level and you will be considered. Enter your WASSCE grades and we will tell you whether you meet the published cut-off for this programme — and every other programme at University of Professional Studies you qualify for.

Check if you qualify

This programme trains you to collect, clean, analyse, and interpret data to help organisations make better decisions. It sits within the Faculty of Information Technology & Communication Studies and entry is less competitive than some other computing programmes. You will build practical skills in statistics, programming, and data visualisation that are in demand across many industries.

What data science and analytics programmes cover

Programmes of this kind usually begin with foundational mathematics and statistics, then introduce programming languages such as Python or R for handling data. You will learn how to work with large datasets, clean messy information, create visualisations, and use machine learning techniques to spot patterns and make predictions. Many programmes also cover database design, data ethics, and how to communicate findings to people who are not technical.

How hard it is to get a place

This is a less competitive programme compared with other computing and IT degrees. That means your WASSCE grades do not need to be as high as for, say, computer science at some universities. However, you still need to meet the university's minimum admission requirements and any subject-specific prerequisites. Check the official admission page to confirm your grades qualify.

Entry requirements

SHS backgrounds accepted

Every SHS course of study may apply to this college.

Aggregate needed

University of Professional Studies publishes a cut-off aggregate for this programme. Run a check to see whether your grades meet it.

Where graduates work

  • Data analyst
  • Data scientist
  • Business intelligence analyst
  • Data engineer
  • Marketing analytics specialist

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