Applied Data Science MSc draft

Program Overview

The University of Central Lancashire's MSc in Applied Data Science program offers a comprehensive study of data science principles and techniques, focusing on data analytics, artificial intelligence, Internet of Things, and robotics. This interdisciplinary program combines engineering, computing, and statistics to equip students for modern data science projects in individual and team settings, with a focus on practical skills and theoretical foundations. Graduates are well-positioned for careers in fields such as data science, machine learning, and engineering.

Program Outline

Applied Data Science MSc - Postgraduate - UCLan

Degree Overview:

The MSc in Applied Data Science is a full-time, one-year program offered at the University of Central Lancashire (UCLan). It is an interdisciplinary program that combines engineering, computing, and statistics. The program aims to equip students with the knowledge and skills necessary to work on modern data science projects in both individual and team capacities. The program focuses on four key strands of data science learning:

• Data Science: This strand covers the fundamental principles and techniques of data science, including data collection, cleaning, analysis, and visualization.
• Artificial Intelligence: This strand explores the concepts and applications of artificial intelligence, including machine learning, deep learning, and natural language processing.
• Internet of Things: This strand introduces students to the hardware and software systems required to implement an "Internet of Things" data model and cloud connection.
• Robotics: This strand delves into the principles and applications of robotics, including robot design, control, and programming.
The program is designed to develop both practical and theoretical skills, such as programming, project management, and statistics. It combines taught sessions with individual and group projects.

Outline:

Students will gain skills in designing, integrating, and using artificial intelligence systems and develop independent research skills. Students will learn data analysis using R and develop data manipulation and analytic skills.

• MSc Project (Engineering): This module requires students to undertake an advanced-level piece of work involving significant research and originality.
Students will specify, plan, execute, and report on a program of work leading to the design of a system, service, or product, incorporating aspects of current research or advanced developments.

Optional Modules:

• Internet of Things: This module introduces students to the hardware and software systems required to implement an "Internet of Things" data model and cloud connection.
It also explores the social and technological impacts of widespread IoT use.
• Work Placement (Engineering): This module involves an 8-12 week work placement where students apply and develop learning materials from the course in a professional working practice.

Teaching:

• The program utilizes a variety of teaching methods, including traditional lectures with slides, practical lab demonstrations, and hands-on exercises.
• Students are expected to complete pre-reading before class and guided reading afterwards.

Careers:

Upon graduation, students will be equipped with skills in working on modern data science projects in both individual and team capacities. They may apply for a PhD or pursue careers in various fields, including:

• Data Scientist
• Machine Learning Engineer
• Data Analyst
• Data Engineer
• Artificial Intelligence Specialist
• The program is located within one of the most intense engineering and manufacturing areas in the UK, with links to major employers in aerospace, automotive, and civil engineering, including BAE Systems and JLR.
• The course team works closely with the ADMT (Advanced Digital Manufacturing Technology) research center and the CVML (Computer Vision and Machine Learning) research group.
• Students have access to modern manufacturing facilities, including Kuka robots, and can work on real-life manufacturing projects.
• The program is delivered in the £35 million Engineering Innovation Centre (EIC) building, which provides an integrated teaching space in state-of-the-art facilities.

2024/25

UK

• Full-time: £9,000 per year
• Part-time: £1,000 per 20 credits

International

• Full-time: £16,900 per year