Birmingham Newman University - Welcome

Data Science MSc

We are delighted to welcome you to the MSc Data Science which is a dynamic conversion programme designed to open new opportunities, regardless of your academic background.

Whether you are transitioning from another field or returning to study, this course offers an accessible pathway into the rapidly evolving world of data science.

You will develop practical skills across key areas such as big data analytics, machine learning, statistics, data visualisation and distributed technologies, alongside essential academic, project management and research skills. Your journey culminates in an independent project or dissertation, enabling you to apply your knowledge to real-world, data-driven challenges.

This programme prepares you for a wide range of careers in data science and analytics, or further academic study, serving as your launchpad into an exciting future driven by data, innovation, and opportunity.

Key dates

Teaching starts

Week beginning: 21 September 2026

Induction day(s)

Tuesday 15 September

More Induction & Timetable information below

Programme Lead

Dr. Adnan Qureshi
a.qureshi@staff.newman.ac.uk
Tel: +44 121 387 4628

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Fees & Enrolment

Paying your student fees

Enrolment

How to start your enrolment

Setting a password for your applicant portal account

Go to Moodle
Click the Lost Password link to set a password when signing in for the first time
Enter your Newman student ID number (seven-digit number) and press Search
Your personal details will then be displayed. Check these details are correct and press send email
You will the receive a password recovery email to your personal email address. This will be an email from portal-admin@newman.ac.uk (please ensure to check your junk/spam folder)
Click on the link within the password recovery email and create a new password
Once you have set your password you will be logged into the applicant portal
Click on the green box that says ‘My Newman for Applicants’
Once you’ve clicked on the green box, scroll down and click on the ‘Start Online Enrolment’ link underneath the ‘Online Enrolment’ tab
- PLEASE NOTE: If you cannot see the Online Enrolment tab, please email registry@newman.ac.uk and they will be able to assist you further
Once you have completed your Online Enrolment, you will be emailed your Birmingham Newman email address (e.g. abcd123@newman.ac.uk) and instructions on how to log in and register for Multi Factor Authentication (MFA). This email will be sent to you within 24 hours after completing your online enrolment.

PLEASE NOTE: To log back into the applicant portal go to Moodle. Enter your Newman ID (7-digit number) and the password you have recently created.

Induction

Pre-induction

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

Induction activities

Tuesday 15 September

09:30 – 12:00
Room DA020

IMPORTANT: Please bring your photo ID with you on this date to complete enrolment.

During induction week, you will be introduced to the programme, teaching team and expectations of university-level study while helping you feel part of a supportive learning community. Familiarity with essential technical tools, such as programming environments, online platforms and university systems, will enable you to begin coding and accessing resources from the outset.

At the same time, you will be guided in developing key study skills, including problem-solving, computational thinking, time management, writing, referencing and maintaining academic integrity, alongside the awareness of professional and ethical issues in computing, such as responsible technology use, security and data ethics.

Timetable

Week beginning: 21 September 2026

Monday 12:00 – 15:00
Tuesday 14:00 – 17:00
Thursday 09:00 – 12:00

Full details of your individual academic timetable, including Semester 2 timetable which may differ, will be available via your university email calendar after you have completed the pre-arrival task online and set up your student login.

Module delivery

3 hours of contact time per 20 credit module, a total of 9 contact hours per week.

Your transition into the world of Data Science begins with a strong suite of modules entailing statistical & mathematical methods for AI and Data Science, analyses of algorithms and big data analytics. The second semester will introduce the concepts of distributed data processing and natural language processing and prepare you with requisite research and project management skills which are imperative to analyse real-world problems and design effective solutions using contemporary tools and technologies.

Your journey culminates in an individual dissertation or project, where you’ll apply industry-style practices and explore the future of technology and research.

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.

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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.

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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:

Academic Support >

Help with assignments and study skills

Wellbeing Services >

Mental health support, counselling, and wellbeing

Career Services >

CV advice, placements, and future career planning

Student Finance >

Guidance on tuition fees, funding, and budgeting

Disability Support >

Tailored support and adjustments for your needs

International >

Help with visas and cultural adjustments

Chaplaincy >

Find support, guidance and a listening ear from our Chaplaincy team

Library >

Study smarter with expert support, resources and flexible spaces in our library

IT Services >

Quickly resolve issues and stay connected with expert help from IT Services

If you’re unsure where to start or what support you need, just ask – we’re happy to help.

Student Success

Student Handbook

Student Handbook 2026/27

OurNewman App

Find support services and keep up to date with campus events
Receive personalised notifications about your course, timetable, and deadlines
Access to your files, emails, and course resources

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Newman Students’ Union

Students' Union

Welcome Events 2026