Data Science, BSc Hons

BSc Data Science Program at Greenwich University

The BSc Data Science program is designed to cultivate mathematically inclined students into skilled data scientists, preparing them for diverse careers or further studies in the fields of data science and analytics.

Program Highlights

• Duration: Three years
• Focus: Mathematics and statistics as the foundation of data science theory and practice.
• Skill Development: Emphasizes practical abilities in data analysis, problem-solving, and evaluation of data-heavy challenges.

Customize Learning

• Students can choose optional modules tailored to their interests within various data science applications.
• Graduates are well-prepared for roles in the public and private sectors, including government and NGOs.

Curriculum Breakdown

Year 1: Core Modules

• Vectors and Matrices (15 credits)
• Mathematical Coding (15 credits)
• Calculus and Mathematical Analysis (30 credits)
• Discrete Mathematics (15 credits)
• Our Mathematical World (15 credits)
• Analysis of Data (15 credits)
• Probability and Randomness (15 credits)

Year 2: Core Modules

• Applications in AI and Data Science (15 credits)
• Big Data Analysis and Visualisation (15 credits)
• Linear Algebra and Differential Equations (30 credits)
• Operational Research: Linear Programming (15 credits)
• Vector Calculus (15 credits)
• Statistical Data Analysis and Time Series (30 credits)

Year 3: Core Modules

• Machine Learning (15 credits)
• Responsible Artificial Intelligence (15 credits)
• Optimisation Techniques (15 credits)
• Advanced Optimisation Techniques (15 credits)
• Linear Models and Statistical Inference (15 credits)
• Choose 30 credits from options such as:
• Research Methods and Mathematics Project (30 credits)
• Mathematics Work Placement (30 credits)
• Choose 15 credits from options such as:
• Financial Time Series (15 credits)
• Graph Theory and Applications (15 credits)
• Bayesian Methods and Their Applications (15 credits)

Overall Workload

• Students should expect a workload similar to that of a full-time job. Each module carries 15 or 30 credits, equating to approximately 150 or 300 study hours.
• Independent study is crucial for success, along with attending support classes, guest lectures, and workshops.

Career Pathways

• Optional sandwich placements offer valuable industry experience between years two and three, enhancing employability.
• Graduates can pursue roles in statistical modeling, operational research, IT, pharmaceuticals, accounting, and teaching.
• Support for securing internships and placements is available through Greenwich's dedicated Employability and Careers Service.

Support Services

• Greenwich provides academic skills support, including access to tutors, subject librarians, and training for specific IT packages as needed.

This program equips students with the necessary skills and knowledge to excel in the dynamic and rapidly evolving field of data science, preparing them for a variety of exciting career opportunities.