Data Science and Analytics
University of Portsmouth
UCAS Code: I1G3 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
We also accept other combinations equivalent to 112-128 Tariff points to include a minimum of 2 A levels.
112-128 Tariff points from the Access to HE Diploma.
Cambridge Pre-U score of 48-54.
GCSE/National 4/National 5
3 GCSEs at grade C or above to include English and Mathematics/3 GCSEs at grade 4 or above to include English and Mathematics.
International Baccalaureate Diploma Programme
25-26 points from the IB Diploma, to include 3 Higher Level subjects.
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
H3,H3,H3,H3,H4-H2,H2,H3,H3,H3
Acceptable when combined with other qualifications.
OCR Cambridge Technical Extended Diploma
Acceptable when combined with other qualifications.
Pearson BTEC Extended Diploma (QCF)
Acceptable when combined with other qualifications.
Acceptable when combined with other qualifications.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
112-128 Tariff points.
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
**Overview**
Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.
On this BSc (Hons) Data Science and Analytics degree course, you’ll learn the technical and analytical skills to make sense of the vast amounts of data available to organisations while working within the regulatory and technical boundaries of the field.
After the course, you’ll be prepared for roles such as data analyst, data scientist, systems developer and systems analyst.
**What you'll experience**
On this degree course, you’ll:
- Learn to use databases, systems and analytical tools to generate insights and intelligence
- Get a deep understanding of modern big data, machine learning and data mining methods
- Identify trends, patterns and correlations to benefit businesses, like targeting new products or increasing sales
- Develop commercial skills, focusing on how to present and visualise your findings
- Apply your analytical abilities to practical problems and real-world datasets, such as our research in cosmology, health information and cyber security
- Have access and training in our new SAP Next-Gen Lab
**Careers and opportunities**
When you finish the course, you'll be equipped for a career in the data analytics and deep learning industry. You could work for multinational companies, small and medium enterprises, and innovation centres.
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.
After you leave the University, you can get help, advice and support for up to 5 years from our Careers and Employability service as you advance in your career.
"Data Warehousing and Mining were my favourite subjects – learning how big data is stored and utilised was deeply interesting and engaging. The staff here are friendly and knowledgeable and my course provided a me with the skills I needed to land my dream job." Azdean Smith, BSc (Hons) Computing Student
Modules
Year 1
Core modules in this year include:
- Architecture and Operating Systems
- Core Computing Concepts
- Database Systems Development
- Practical Data Science
- Programming
There are no optional modules in this year.
Year 2
Core modules in this year include:
- Applied Machine Learning and Data Mining
- Big Data
- Data Structures and Algorithms
- Database Principles
- Software Engineering Theory and Practice
Optional modules in this year currently include:
- 3D Computer Graphics and Animation
- Computing Undergraduate Ambassador
- Ethical Hacking
- Institution-wide Language Program
- Virtualisation and Cloud Computing
- Web Programming
Placement year (optional)
After your second year, you can do an optional 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: IBM, UKCloud, Intel.
We’ll help you secure a work placement that fits your aspirations. You’ll get mentoring and support throughout the year.
Year 3
Core modules in this year include:
- Business Analytics
- Open Innvations in Data Science
Optional modules in this year currently include:
- Distributed Systems and Security
- Enterprise Web Architectures
- Final Year Study Project
- Fuzzy Systems and Networks
- Individual Project (Engineering)
- Malware Forensics
- Neural Networks and Genetic Algorithms
- Professional and Academic Research Development
- Robotics
- Security and Cryptography
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.
Assessment methods
You’ll be assessed through:
written assignments
presentations
group and individual lab-based assessments
projects
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.
The way you’re assessed may depend on the modules you select. As a guide, students on this course last year were typically assessed as follows:
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
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
University of Portsmouth
Faculty of Technology
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Computer science
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Computing
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£21k
£25k
£29k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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