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MSc Data Science and Artificial Intelligence

  • DeadlineStudy Details:

    1 year full-time, 2-3 years part-time

Masters Degree Description

The MSc Data Science and Artificial Intelligence will provide you with a deep understanding of cutting-edge artificial intelligence techniques and the practical skills to implement data analytics using AI.

  • The rate at which we can create data is rapidly accelerating. Ranging from biomedical data to monitoring climate change, this sector has never been more important. Artificial intelligence can play a key role in understanding how this data can create positive change.
  • The MSc Data Science and Artificial Intelligence will provide you with statistical, computational and data analysis skills.
  • We’ll explore the exciting possibilities that artificial intelligence can have on the area of data science and analysis.
  • You’ll be grounded in the basics, learning the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real-world data.
  • You’ll gain the computational techniques needed to efficiently analyse very large data sets.
  • You’ll apply Natural Language Processing and Deep Learning methods to a range of real-world data.
  • You’ll learn under the guidance of experts in health analytics, neuroscience, finance, business and management.
  • This degree is interdisciplinary and you’ll benefit from the expertise of both the Department of Computing and Institute of Management Studies to learn skills in computer science, mathematics, economics, finance, business and marketing.
  • We have strong links with industry, and you’ll regularly learn from guest speakers across the Data Science sector.
  • You’ll use industry-standard software such as Apache, Hadoop, R and Spark to analyse data from industries such as biomedical, financial and social media.
  • Your learning will be put to the test with a final project in your area of specialist interest. You’ll carry out original research on real-world data.

Entry Requirements

You’ll gain a strong foundation in data science and specialist knowledge in a particular field. We do not assume that you’ll have programmed before, but we do require a level of mathematical dexterity that is commensurate with having completed a numerate degree.

A BA or BSc Degree at 2.1 level or above in a subject like computer science, mathematics, statistics, engineering, or quantitative subjects like economics/finance.

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Fees

See our website for fees

Student Destinations

We carefully designed our data science programme to help you to become successful data science professionals. Core modules provide you with a solid grounding in the theory of big data, statistics, machine learning and the pathway domain. We train you on the latest methods and techniques across various modules so that you can be an important resource for different organizations as a data scientist and engineer. The programme provides you with the opportunity to learn the core techniques and further it enhances your learning through lab sessions. The lab sessions are going to help you to build hands-on experience on data science tools prior to your graduation.

The learning outcomes of all modules are in line with the fundamentals and current trends of data science and what exactly employers need and want. Each module provides you with hands-on experience of real-world applications, analysing data sets such as social media, biomedical data and financial data while working with industry-standard software tools. Our Industry Advisory Board (IAB) has experts from industry who can guide us from time to time on the industry requirements. Most of the data science programme faculty have worked with industry for many years. The teaching for the data science pathways is always in line with the current trends and technologies of data science. Moreover, while doing your masters, you will have cutting-edge computing facilities for big data analysis and the opportunity to work with leading researchers towards your final projects.

With successful completion, our data science students can take up wide variety of roles across many organisations.

Module Details

You’ll take the following compulsory modules:

Module title
Data Programming 15 credits
Machine Learning 15 credits
Artificial Intelligence 15 credits
Statistics and Statistical Data Mining 15 credits
Data Science Research Topics 15 credits
Neural Networks 15 credits
Final Project in Data Science 60 credits

Optional modules
You’ll then take two optional modules to the value of 30 credits. Optional modules across the Institute of Management Studies and Department of Computing change annually, and recent examples have included:Financial Data Modelling 15 credits
Blockchain Programming 15 credits
Mathematics for Financial Markets 15 credits
Econometrics 15 credits
From National Statistics to Big Data 15 credits
Advanced Econometrics 15 credits
Marketing Strategy 15 credits
Marketing Analytics 15 credits
Digital Marketing and Branding 15 Credits
Data Visualisation 15 Credits
Big Data Applications 15 credits
R Programming 15 credits

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