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MSc Computer Science With Data Analytics

  • DeadlineStudy Details:

    MSc Two years, part-time

Course Description

Data is being collected at unprecedented speed and scale, becoming an ever-increasing part of modern life. While ‘big data’ is big business, it is of little use without big insight. The skills required to develop such insight are in short supply, and the expertise needed to extract information and value from today’s data couldn’t be more in demand.

Our 100% online MSc Computer Science with Data Analytics programme is designed for working professionals and graduates who may not have an academic background in computer science or data analytics and want to start a career in this fascinating and lucrative field.

Entry Requirements

2:2 (or equivalent) undergraduate degree in any subject

Or Masters degree (or equivalent) in any subject

Students whose first degree was not taught in English should have an appropriate English language qualification

If you earned your degree outside the UK, check that it is equivalent to a 2:2. Our country-specific pages can help you to find out more

If English isn’t your first language you may need to provide evidence of your ability, such as:

IELTS: 6.5, with no less than 6.0 in each component

PTE: 61, with no less than 55 in each component

CAE and CPE (from January 2015): 176, with no less than 169 in each component

TOEFL: 87, with a minimum of 21 in each component

TOEFL iBT Special Home Edition: 87, with a minimum of 21 in each component

Trinity ISE: level 3 with Merit in all components

Duolingo: 110 overall, minimum 100 in all other components

You need to have completed the test within two years of the start date of your programme. You cannot combine scores from more than one sitting of the test.

You will not need to provide evidence of your English language abilities:

If you’re from a specified majority English-speaking country

If you’ve completed a degree in English in a specified country within two years of your intended start date

Successful completion of this course will require you to access widely used software and university systems. Please speak to our enrolment advisers for more information on this.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

We’ll confirm more funding opportunities for students joining us in 2022/23 throughout the year.

Student Destinations

Advancing your career

In the UK alone, over 1.5 million people work in the digital sector, while the number of digital technology jobs has grown at twice the rate of other roles.

The programme will help prepare you for a range of in demand roles in computer science, software development, programming, and data driven solutions. You will be able apply computational thinking, and apply current data and text analysis techniques such as machine learning in a range of business and academic settings.

Module Details

University of York Campus

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