BSc (Hons) Data Science with Applied Business Informatics

Our program is designed as a balanced blend of mathematics, statistics, and computer science, tailored to understand the business context of AI and data science applications. You will study fundamental statistical techniques alongside modern software development methods applicable in areas of business such as finance and econometrics. You will also explore the ethical, psychological, and social aspects of such applications. In our computing laboratories, you will have the opportunity to apply your learning immediately using authentic datasets. You will undertake significant hands-on projects, including a final year data science dissertation led by academics with research specialties currently in artificial intelligence, big data, and statistical modeling. You will explore a range of advanced technical topics which may include game theory, or international finance, as well as academic research, and practical problem-solving in order to become a skilled professional able to manage data complexity in a field in high demand, both in industry and research.

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

Employability

From programming in Python and R, through to working knowledge of econometrics, accounting, and corporate and international finance. Keele’s programme delivers the necessary skills to choose a pathway through this career with confidence. You can go on to work in diverse industries, primarily within the finance and business sectors, including business intelligence and e-commerce, but also in healthcare, transport, as well as further academic study. Additional experience of research and self-directed learning gives our students the broader abilities needed to respond to the latest developments in this fast-changing field in the years ahead. Our Data Science degree is also great preparation for employment in related fields including consultancy, software development, accountancy, engineering and teaching.

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