BSc (Hons) Data Science with Applied Business Informatics with Integrated Master’s

The MSci program complements our Single Honours Data Science with Applied Business Informatics course with an additional year at the Master’s level. The first three years will give you a solid understanding of the business context of AI and data science applications, and well-grounded knowledge of the principles and methods from mathematics, statistics, and computer science. The final year will further strengthen your independent critical thinking, problem-solving, professional, and research skills. You will focus on advanced technical topics, including time series models, cloud computing; specialized subjects such as international finance, international business, and multinational accounting; as well as on your personal development through a range of different modules.

Year 1

Compulsory Modules

• Programming I – Programming Fundamentals
• Introduction to Data Science I
• Accounting Principles
• Mathematical Techniques for Data Science
• Communication, Confidence, and Competence
• Introduction to Data Science II
• Statistics

Year 2

Compulsory Modules

• Programming II – Data Structures and Algorithms
• Computational and Artificial Intelligence I
• Visualization for Data Science
• Database Systems
• Applied Deep Learning
• Professional Mathematics and Data Science

Optional Modules

• Finance I*
• Web Technologies
• Probability
• Individual Study Topic in Computer Science
• Advanced Programming Practices
• Software Engineering
• Introduction to Econometrics*
• Linear Statistical Models
• Operational Research

Year 3

Compulsory Modules

• Machine Learning Applications
• Data Mining
• Third Year Double Project – ISP
• Computational and Artificial Intelligence II
• Data Ethics and Security

Optional Modules

• Bioinformatics
• International Finance
• Applied Financial Analysis
• Investment Management
• Game Theory
• Advanced Databases and Applications
• Advanced Web Technologies
• Risk Management with Derivatives
• Medical Statistics

Year 4

Compulsory Modules

• Advanced Topics in Machine Learning
• MSci Project

Optional Modules

• Research Horizons
• Distributed Intelligent Systems
• The Internet of Things
• Time Series Models and Analysis
• Smart Grid and the Energy Transition
• Portfolio Management and Investment Analysis
• Cloud Computing
• Web Technologies and Security
• Derivative Instruments
• Fixed Income Securities and Credit Risk
• Bank Risk Management
• FinTech (Financial Technology) and Mobile Banking
• Green Finance

Employability:

Our degree will provide you with a wide range of analytic and employability skills, plus a highly developed approach to problem-solving. As an MSci graduate, you will have knowledge of advanced areas such as economics, finance, accounting, machine learning, and data models that also lead to more specialist careers or doctoral research. Primary professional outlets are within the finance and business sectors, including business intelligence and e-commerce, but also in data analytics, healthcare, and transport. Our Data Science degree is also great preparation for employment in related fields including management consultancy, software development, accountancy, engineering, and teaching, and opens the way to further academic study.

Jobs that a graduate of this course could go on to do:

• IT Consultant
• Database Administrator
• Systems Analyst
• Multimedia Programmer
• Games Developer
• IT Technical Support Officer
• Network Engineer