Data Science BSc Honours

Program Overview

The Data Science BSc Honours program combines mathematics, computer science, and data analysis to equip students with practical skills for analyzing and interpreting data. Developed in partnership with the National Innovation Centre for Data, the program emphasizes expertise in relevant data science topics and offers industry-focused applications. Through hands-on labs, masterclasses, and a group project, students develop a portfolio showcasing their skills and prepare for careers as data scientists, analysts, and engineers.

Program Outline

Degree Overview:

• Title: Data Science BSc Honours
• Start Date: September 2023
• Key Features:
• Combines mathematics, computer science, and data analysis
• Delivers practical skills to analyze and interpret data
• Offers industry-focused and real-world data applications
• Emphasizes expertise in the most relevant and innovative data science topics

Outline:

• Stage 1:
• Foundations of Data Science module
• Introduction to mathematics and computer science
• Topics include probability, statistics, algebra, calculus, and software engineering
• Hands-on labs and practical exercises
• Stage 2:
• Specialized modules in mathematics and computer science
• Focuses on data visualization, regression, security programming, and algorithm design/analysis
• Includes modules delivered by NICD with masterclasses and bootcamps
• Teamwork on real-world business challenges
• Stage 3:
• Continued participation in masterclasses run by NICD
• Application of statistical, mathematical, programming, and data science skills to various problems
• Group Project: real-world data sets, problem-solving, and business challenges

Assessment:

• Combination of different methods:
• Lectures
• Seminars
• Labs and practicals
• Experience-based learning through NICD bootcamps and masterclasses
• Development of an open-source portfolio showcasing skills and expertise
• Group project for Stage 3

Teaching:

• Research-informed teaching
• Collaboration with NICD for industry-focused knowledge
• State-of-the-art facilities including computing labs and the Catalyst
• Experiential learning approach through flipped learning, bootcamps, and masterclasses
• Development of research, presentation, communication, and teamwork skills

Careers:

• Prepares graduates for data science careers
• Development of practical skills for immediate application
• Industry collaborations and connections through NICD
• Work placements for real-world experience
• Potential career paths include:
• Data Scientist
• AI Data Scientist
• Data Analyst
• Statistician
• Data Engineer
• Risk Analyst
• Market Research Analyst
• Analytics Manager
• Extensive IT facilities for learning and research
• Opportunities for study abroad and work placements
• Tablet provided for course resources and sustainable learning
• Access to student-run societies and social spaces
• Strong industry connections for networking and employment opportunities
• Award-winning Careers Service with dedicated support
• Extensive opportunities for personal and professional development