Data Science and Analytics BSc (Hons)
BSc Hons Data Science and Analytics
The World Economic Forum estimated there to be 40 times more data in the world than observable stars in the universe in 2020. Global businesses, social media companies, financial institutions, the healthcare sector and governments all rely on this data, and those who analyse it, to inform business-critical decisions at the highest level.
On this BSc (Hons) Data Science and Analytics degree course, you’ll learn to confidently analyse the vast amounts of data available – a highly desired skill in all sectors. You'll learn to use databases, systems and analytical tools, such as the Relational Model and structured query language (SQL), to identify insights and trends to benefit businesses, like targeting new products or increasing sales. You'll find out how the same systems can be used to identify patterns in medical data, to predict disease or recovery, or in the fight against climate change through analysing soil data or marine biology.
You'll develop a deep understanding of modern big data, machine learning and data mining methods, preparing you for key roles such as data analyst, data scientist, systems developer and systems analyst.
- Apply your analytical skills to practical problems and real-world datasets collected from our extensive research in areas such as cosmology, health information and cyber security
- Develop commercial skills alongside technical data analysis, such as how to present and visualise your findings
- Choose specialist modules that match your interests and career ambitions, such as ethical hacking, 3D computer graphics and animation, malware forensics, robotics and cryptography
- Apply your skills through our work with charities and organisations such as Code Club, where you'll help 9-13-year-olds with their Scratch, HTML/CSS, and Python projects
- Benefit from our Student Union clubs and societies, such as the IT Society, AI and Robotics Club and Gaming Society
This is the future. Many in the industry are switching and learning about big data. It really is an exciting course that provides opportunities and it never gets boring. I love learning new concepts and the practical side. Also a bonus: you can work in any sector with this.
Understanding data helps us to understand the future. In everything we do, data science and analytics provides the answers that shape our world. To manage this changing world successfully, we need to know whats happening. From social media management to financial forecasting. From cosmology to climate change. And beyond our own planet, our knowledge of the universe is expanding. Each new discovery provides us with a vast amount of data that needs to be understood and analysed.
BSc (Hons) Data Science and Analytics degree entry requirements
- A levels – ABB–BBC
- UCAS points – 112–128 points, including an A Level in a relevant subject, or equivalent (calculate your UCAS points)
- BTECs (Extended Diplomas) – DDM–DMM
English language requirements
- English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.
We also accept other standard English tests and qualifications, as long as they meet the minimum requirements of your course.
If you don't meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
Facilities and specialist software
SAP Next Generation Lab
SAP is the world's leading cloud-based business software, used by 171 million users in 180 countries. You'll get practical experience with SAP business resource planning software and equipment, in areas including customer resource management (CRM), business analytics, financial planning and intelligent technologies.
High Performance Computing Laboratory
Our most powerful hardware for working with big data. Fitted with a Hadoop Cluster with 12 nodes, 144 virtual cores and 384GB RAM for completing process heavy tasks.
3D Vision Laboratory
The 3D Vision Lab is the School of Computing’s newest development, hosting various virtual reality headsets, including Oculus Rift, a room-scale implementation of the HTC Vive and a 3D scanner.
Careers and opportunities
Data scientist was identified as the 7th top emerging job role in the UK in LinkedIn's emerging jobs report 2020 and The Royal Society revealed a 231% growth in demand for data scientists and engineers between 2014 and 2019. The Government have also reported that UK companies are recruiting for 178,000 to 234,000 roles that require 'hard' data skills, including data ethics, programming, database management, data processing and visualisation.
When you finish this course, you'll be equipped for a career in the data analytics and deep learning industry. With the high demand for data scientists, you can expect a starting salary from £25,000–£30,000, with the opportunity to earn up to £60,000 once you're experienced in the field.
What jobs can you do with a data science and analytics degree?
Previous students have gone on to work as:
- data analysts
- data engineers
- data architects
- information analysts
Other graduates have continued their studies at postgraduate level or set up successful businesses with help and support from the University.
Get experience while you study with support to find part-time jobs, volunteering opportunities and work experience. Towards the end of your degree and after graduation, you'll get 1-to-1 support from our Graduate Recruitment Consultancy to find your perfect role.
Placement year (optional)
Taking an optional placement year gives you the experience you need to increase your chances of landing your perfect role after graduation. You could work in a paid role in a professional organisation (our students earn an average salary of £19,000 during their placements) or set up your own business, giving you the chance to grow your professional network and enhance your CV.
We'll give you all the support you need to find a placement that prepares you for your career, and we'll continue to mentor you throughout your placement.
Previous students have taken placements roles as a data scientist and marketing data analyst at organisations including BAE Systems and HP.
What you'll study on this BSc (Hons) Data Science and Analytics degree
Each module on this course is worth a certain number of credits.
In each year, you need to study modules worth a total of 120 credits. For example, four modules worth 20 credits and one module worth 40 credits.
Core modules in this year include:
- Architecture and Operating Systems – 20 credits
- Comp Tutorial Level 4 – 0 credits
- Core Computing Concepts – 20 credits
- Database Systems Development – 20 credits
- Practical Data Science – 20 credits
- Programming – 40 credits
There are no optional modules in this year.
Core modules in this year include:
- Applied Machine Learning and Data Mining – 20 credits
- Big Data – 20 credits
- Comp Tutorial Level 5 – 0 credits
- Data Structures and Algorithms – 20 credits
- Database Principles – 20 credits
- Software Engineering Theory and Practice – 20 credits
Optional modules in this year include:
- 3D Computer Graphics and Animation – 20 credits
- Computing Undergraduate Ambassador – 20 credits
- Ethical Hacking – 20 credits
- Modern Foreign Language (Institution-wide Language Programme) – 20 credits
- Usability Engineering – 20 credits
- Virtualisation and Cloud Computing – 20 credits
- Web Programming – 20 credits
After your second year, you can do an optional study abroad or work placement year to get valuable longer-term work experience in the industry.
Previous students have completed work placements at well-known companies, such as:
We’ll help you secure a work placement that fits your aspirations. You’ll get mentoring and support throughout the year.
Core modules in this year include:
- Business Analytics – 20 credits
- Comp Tutorial Level 6 – 0 credits
- Final Year Study Project / Individual Project – 40 credits
- Open Innovations in Data Science – 20 credits
Optional modules in this year include:
- Distributed Systems and Security – 20 credits
- Enterprise Web Architectures – 20 credits
- Fuzzy Systems and Networks – 20 credits
- Internet of Things – 20 credits
- Malware Forensics – 20 credits
- Neural Networks and Genetic Algorithms – 20 credits
- Professional and Academic Research Development – 20 credits
- Robotics – 20 credits
- Security and Cryptography – 20 credits
We use the best and most current research and professional practice alongside feedback from our students to make sure course content is relevant to your future career or further studies.
Therefore, some course content may change over time to reflect changes in the discipline or industry and some optional modules may not run every year. If a module doesn’t run, we’ll let you know as soon as possible and help you choose an alternative module.
Teaching methods on this course include:
- lab sessions
- self-directed study
The academic year runs from September to June. There are breaks at Christmas and Easter.
How you're assessed
You’ll be assessed through:
- written assignments
- group and individual lab-based assessments
You’ll be able to test your skills and knowledge informally before you do assessments that count towards your final mark.
You can get feedback on all practice and formal assessments so you can improve in the future.
- Year 1 students: 33% by written exams and 67% by coursework
- Year 2 students: 58% by written exams, 3% by practical exams and 39% by coursework
- Year 3 students: 22% by written exams and 78% by coursework
Supporting your learning
The amount of timetabled teaching you'll get on your degree might be less than what you're used to at school or college, but you'll also get support via video, phone and face-to-face from teaching and support staff when you need it. These include the following people and services:
Types of support
Your personal tutor helps you make the transition to independent study and gives you academic and personal support throughout your time at university.
As well as regular scheduled meetings with your personal tutor, they're also available at set times during the week if you want to chat with them about anything that can't wait until your next meeting.
You'll have help from a team of faculty learning support tutors. They can help you improve and develop your academic skills and support you in any area of your study in one-on-one and group sessions.
They can help you:
- master the mathematics skills you need to excel on your course
- understand engineering principles and how to apply them in any engineering discipline
- solve computing problems relevant to your course
- develop your knowledge of computer programming concepts and methods relevant to your course
- understand and use assignment feedback
All our labs and practical spaces are staffed by qualified laboratory support staff. They’ll support you in scheduled lab sessions and can give you one-to-one help when you do practical research projects.
As well as support from faculty staff and your personal tutor, you can use the University’s Academic Skills Unit (ASK).
ASK provides one-to-one support in areas such as:
- academic writing
- note taking
- time management
- critical thinking
- presentation skills
- working in groups
- revision, memory and exam techniques
If you have a disability or need extra support, the Additional Support and Disability Centre (ASDAC) will give you help, support and advice.
Library staff are available in person or by email, phone or online chat to help you make the most of the University’s library resources. You can also request one-to-one appointments and get support from a librarian who specialises in your subject area.
The library is open 24 hours a day, every day, in term time.
The Maths Cafe offers advice and assistance with mathematical skills in a friendly, informal environment. You can come to our daily drop-in sessions, develop your mathematics skills at a workshop or use our online resources.
Course costs and funding
Tuition fees (2022 start)
- UK/Channel Islands and Isle of Man students – £9,250 per year (may be subject to annual increase)
- EU students – £9,250 a year (including Transition Scholarship – may be subject to annual increase)
- International students – £18,300 per year (subject to annual increase)
Funding your studies
Applying from outside the UK? Find out about funding options for international students.
Additional course costs
These course-related costs aren’t included in the tuition fees. So you’ll need to budget for them when you plan your spending.
Our accommodation section shows your accommodation options and highlights how much it costs to live in Portsmouth.
You’ll study up to 6 modules a year. You may have to read several recommended books or textbooks for each module.
You can borrow most of these from the Library. If you buy these, they may cost up to £60 each.
We recommend that you budget £75 a year for photocopying, memory sticks, DVDs and CDs, printing charges, binding and specialist printing.
If your final year includes a major project, there could be cost for transport or accommodation related to your research activities. The amount will depend on the project you choose.
How to apply
To start this course in 2022, apply through UCAS. You'll need:
- the UCAS course code – I1G3
- our institution code – P80
If you'd prefer to apply directly, use our online application form.
You can also sign up to an Open Day to:
- Tour our campus, facilities and halls of residence
- Speak with lecturers and chat with our students
- Get information about where to live, how to fund your studies and which clubs and societies to join
If you're new to the application process, read our guide on applying for an undergraduate course.
How to apply from outside the UK
See the 'How to apply' section above for details of how to apply. You can also get an agent to help with your application. Check your country page for details of agents in your region.
To find out what to include in your application, head to the how to apply page of our international students section.
If you don't meet the English language requirements for this course yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
Admissions terms and conditions
When you accept an offer to study at the University of Portsmouth, you also agree to abide by our Student Contract (which includes the University's relevant policies, rules and regulations). You should read and consider these before you apply.