Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year full-time, 2-3 years part-time
The MSc Data Science and Financial Technology pathway will provide you with the technical and practical skills on how to use the technologies in investment analysis, algorithmic trading, risk management, and payment and fraud detection.
The rate at which society is creating data is rapidly accelerating; outstripping our ability to successfully analyse and use it. The MSc in Data Science and Financial Technology will give you the skills to join the next generation of data scientists, leading the way in areas from climate change to financial forecasting.
You’ll gain a strong foundation in data science and specialist knowledge in a particular field. We do not assume that you will have programmed before, but we do require a level of mathematical dexterity that is commensurate with having completed a numerate degree.
You’ll require a BA or BSc Degree at 2.1 level or above in subjects like computer science, mathematics, statistics, engineering, economics or finance.
See our website for fees
We carefully designed our data science programme to help you to become successful data science and FinTech professionals. Core modules of the individual pathways provide you with a solid grounding in the theory of big data, statistics, machine learning and the pathway domain. Further, we train you on the latest technologies like blockchain programming and methods and techniques in quantitative finance so that you can be an important resource for different organizations as blockchain programmer, FinTech specialist, financial analyst as well 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 and FinTech tools prior to your graduation.
The learning outcomes of all modules are in line with the fundamentals and current trends of data science and token economy 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 and financial data while working with industry standard software tools. Our Industry Advisory Board (IAB) that 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 over 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 opportunity to work with the leading researchers towards your final projects.
You’ll take the following compulsory modules:
Module title
Data Programming 15 credits
Statistics and Statistical Data Mining 15 credits
Financial Data Modelling 15 credits
Blockchain Programming 15 credits
Mathematics for Financial Markets 15 credits
Big Data Applications 15 credits
Final Project in Data Science 60 credits
Optional modules
You’ll also take two optional modules from across the Department of Computing and Institute of Management Studies to the value of 30 credits. These vary from year to year, and may include the following:
Module title
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
Artificial Intelligence 15 credits
Neural Networks 15 credits
Machine Learning 15 credits
Data Science Research Topics 15 credits
R Programming 15 credits
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