Data Science MSc

Welcome to the MSc Data Science (conversion) programme!

We are delighted to have you join our academic community and embark on this exciting journey of advanced learning and innovation. This program is designed to equip you with cutting-edge knowledge, practical skills with contemporary tools and research expertise that will prepare you for impactful careers in data analytics and beyond.

Throughout your studies, you will engage with a diverse range of modules—from big data analytics and statistical methods to distributed data and natural language processing—guided by experienced faculty and supported by state-of-the-art resources. We encourage you to take full advantage of collaborative opportunities, research projects and industry connections that will enrich your learning experience.

Once again, welcome to the program. Let’s make this an inspiring and transformative journey together! We look forward to supporting you every step of the way and witnessing the remarkable accomplishment you will achieve.

Welcome aboard—your future in Data Science starts here.

Timetable

First block teaching

Week beginning 19 January 2026
Mondays 9am to 12pm
Wednesdays 9am to 12pm and 1pm to 4pm

Full details of your individual academic timetable will be available via your university email calendar after you have completed online enrolment and set up your student login.

Pre-induction activities

These optional resources will familiarise students to fundamental concepts in Computer Science:

Induction day

Wednesday 14 January
1pm to 4pm
Room DW111

International students

International students will be required to enrol in-person as part of the event on

Wednesday 14 January

Induction activities

Programme and modules details
Teaching methodology
Assessments
Student Support services
Employability and Career choices

IMPORTANT: Please bring your photo ID with you to complete the ID verification check for Student Finance confirmation.

Your teaching team

Dr. Adnan N. Qureshi

Dr. Adnan N. Qureshi received his Ph.D. from the Institute for Research in Applicable Computing (IRAC), University of Bedfordshire, UK. His research areas include bio-medical image and signal processing, computer vision, machine learning, optimization and autonomous systems. He is Programme Leader and Senior Lecturer of Computer Science.

Dr. Vincent Hall

Dr. Vincent Hall is currently working as Lecturer in Computer Science. He is an expert in Data Science and Machine Learning with a first UG masters degree in Physics and Astronomy (Leeds). His MSc was in the Physical Sciences – Life Sciences boundary (Warwick). His PhD entailed creating a Machine Learning method to help Chemists by estimating the structures of proteins with UV light scans. The latest version of this technology, now updated and added to by others, is licenced by Warwick Innovation to Pharma companies, and free for academic use.

Alethe Bailey

Alethe Bailey has a passion for computer science education and a strong commitment to life-long learning. She is convinced that teachers trained to the highest standards would provide children with the best schooling possible. She worked extensively on a range of computing projects and collaboratively with schools and other establishments to enhance teaching and learning.

Dr. James Williams

Dr. James Williams is a Lecturer in Computer Science at Birmingham Newman University, where he delivers modules across the software development and cyber security curriculum. His academic and professional interests centre on the representation and visualization of fuzzy, place-based ‘platial’ data within geospatial computing, with a growing focus on the application of large language models in this space. James also organises initiatives in student engagement, including events and hackathons, while actively collaborating with industry and local communities.

Module delivery

There will be 3 modules per semester with 9 hours of teaching per week on campus.

Your journey into the world of Data Science begins with strong underpinnings. In your first semester, you’ll study distributed data processing, research methods & project management and natural language processing.

You’ll learn to critically analyse real-world problems and design effective solutions using contemporary tools and technologies. At the same time, you’ll be introduced to the ethos of the industry, including a critical awareness of professional and ethical considerations.

Paying your student fees

Online enrolment

Student Support

Access services and support throughout your degree.

At Birmingham Newman, you’re never alone. We’re here to support you at every stage, whether it’s academic guidance, wellbeing support, or career advice.

Here are some of the ways we can help: