Advanced Computer Science (Data Analytics) - MSc


University of Leeds School of Computing

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School of Computing

The School of Computing at the University of Leeds has a global reputation for teaching excellence, with over 700 students from 50 countries studying with us. We are members of the Alan Turing Institute, as well as having close links to the Leeds Institute of Data Analytics, Robotics Leeds, and Leeds Institute for Fluid Dynamics research groups.

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Full time September MSc 12 months full time

About the course

Big data is becoming more and more important in fields from science to marketing, engineering, medicine and government. This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of advanced topics in computer science.

You’ll gain a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like image analysis or text analytics, or broaden your approach with topics like cloud computing.

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Entry Requirements

A bachelor degree with a 2:1 (hons) in computer science. Other Computing based degrees may be considered on a case by case basis.

We require all applicants to have studied a breadth of relevant modules including significant programming, systems development, data structures and algorithms, with strong marks across all these modules.

Relevant work experience will also be considered.


 Course Content


Where is University of Leeds

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Student Profile(s)

Julia Vasuki Vasudeva

What have you been doing since finishing your studies? What are you doing in terms of your career?
I am working as a consultant at Deloitte Consulting in Germany. Deloitte is one of the “Big Four” international operating professional services for Audit, Tax, Corporate Finance and Consulting.

What experiences at Leeds do you think have particularly helped with your career/will help with your future career?
The taught modules are definitely relevant for my career as its forms a solid foundation to develop further knowledge in order to advise my clients. Also, during my MSc Project I could choose a project I was interested. By using new technologies and applying methods of machine learning, text analytics and natural language processing, I could not only learn something new but also apply my knowledge in a real project environment.

Looking back, why did you choose to study your particular course and why did you choose the University of Leeds?
The University of Leeds is a great and reputable university in terms of teaching, research and offering vast opportunities for extracurricular activities for students. I chose the University of Leeds due to my interest in Data/ Text Analytics and the research activities in this area. Also, the choice of taught modules was a key driver for my decision. The modules Data Mining, Machine Learning, Semantic Web and Applications and Cloud Computing interested me most.

Read the full case study here - https://eps.leeds.ac.uk/computing-masters/dir-record/student-alumni-profiles/3255/julia-vasuki-vasudeva

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University of Leeds School of Computing

School of Computing

The School of Computing at the University of Leeds has a global reputation for teaching excellence, with over 700 students from 50 countries studying with us. We are members of the Alan Turing Institute, as well as having close links to the Leeds Institute of Data Analytics, Robotics Leeds, and Leeds Institute for Fluid Dynamics research groups.

Our active research environment ranges from fundamental advances in algorithms and our understanding of computation, through to highly applied research into new display technologies for clinical diagnosis, energy-efficient data centres, and profound insight into data through visualisation.

We are ranked 6th in the UK for Computer Science in the Complete University Guide 2020.

Our courses

A Masters degree can really help you to stand out in today’s competitive job market. Our courses reflect our research expertise in artificial intelligence, distributed computing, data analytics and high-performance graphics. You’ll be directly engaged in research through substantial individual and team-based project work giving you access to our specialist facilities.

We also contribute to the Data Science and Analytics MSc. The course combines expertise from the Schools of Computing, Geography and Mathematics with that of Leeds University Business School, allowing you to benefit from a range of data science perspectives and applications.


“I have thoroughly enjoyed living and studying in Leeds, a lively city that has a lot to offer in terms of experiences, social and professional opportunities. Living in Leeds for 4 years now, I still find new places to visit and activities to take part in."

“One of the most important skills I’ve gained from my course is the ability and confidence to conduct meaningful research in order to find a fitting approach to any problem I have to solve.”

Orestis Pourgourdis

Careers

The school’s Industrial Advisory Committee ensures our courses are up to date with the modern practices and techniques that will enable you to succeed in industry. We have long-established links with industry in the UK and overseas, which is one of the many reasons why our graduates are highly sought after by employers such as Apple, Dell, Ernst & Young, HSBC, IBM, the NHS and TomTom.

Scholarships

We offer a number of scholarship opportunities to support and reward students from around the world.

For more information about our courses please visit our website.

Apply now to join us in 2021.

University of Leeds School of Computing