Data Science and Analytics BSc (Hons)

A data science and analytics student views charts and graphs on a tablet screen
UCAS Code
I1G3
Mode of Study
Full-time, Full-time sandwich with work placement
Duration
3 years full-time, 4 years sandwich with work placement
Location
Main site

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
  • Work on our supercomputer, SCIAMA, which has 3,702 computer cores and networked clusters that offer more processing power than most commercial platforms

Work experience and career planning

To give you the best chance of securing a great job when you graduate, our Careers and Employability service can help you find relevant work experience during your course.

We can help you identify placements, internships, voluntary roles and opportunities that will complement your studies and build your CV.

Placement year

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.

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.

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.

Professional accreditations

This course is accredited by BCS, The Chartered Institute for IT, and meets the academic requirements that allow you to register as a Chartered IT Professional (CITP). This helps you stand out against the competition when applying for jobs.

Entry requirements​

Entry requirements for this course may be more flexible during Clearing.
Entry Requirements

​Course costs

Tuition fees

  • UK/EU/Channel Islands and Isle of Man students – £9,250 per year (may be subject to annual increase)
  • International students – £15,100 per year (subject to annual increase)

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.

Additional costs

Our accommodation section shows your accommodation options and highlights how much it costs to live in Portsmouth.

You’ll study up to 6 units a year. You may have to read several recommended books or textbooks for each unit.

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.

​What you'll study

Each unit on this course is worth a certain number of credits.

In each year, you need to study units worth a total of 120 credits. For example, 4 units worth 20 credits and 1 unit worth 40 credits.

Units currently being studied

Core units in this year include:

  • Mathematics for Data Analysis
  • Database Design and Development
  • Programming
  • Web Foundations
  • Business Systems Analysis and Design

There are no optional units in this year.

Core units in this year include:

  • Experiment Design and Data Analytics
  • Advanced Programming
  • Database Principles
  • Data Structures and Algorithms
  • Statistical Theory and Methods
  • Mathematics Graduates and Employment

There are no optional units in this year.

Core units in this year include:

  • Data Warehousing and Mining
  • Open Data Innovation
  • Distributed and Parallel Systems
  • Project

Options to choose from in this year currently include:

  • Statistics Methods in Health Research and Social Science
  • Neural Networks and Genetic Algorithms

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 units may not run every year. If a unit doesn’t run, we’ll let you know as soon as possible and help you choose an alternative unit.

Learning support

As well as support by faculty teaching 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
  • referencing
  • working in groups
  • revision, memory and exam techniques

If you have a mental or physical disability, the Additional Support and Disability Centre (ASDAC) can give you help, support and advice so you can reach your potential.

Maths and stats support

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 maths skills at a workshop or use our online resources.

Teaching​

Teaching methods on this course include:

  • lectures
  • tutorials
  • lab sessions
  • self-directed study

How you'll spend your time

Each academic year is divided into 2 teaching blocks and an assessment period:

  • Autumn teaching block – September to December
  • Spring teaching block – January to Easter
  • Assessment period – Easter to June
Most teaching takes place during the day, Monday to Friday.

Your workload

The time you spend in teaching activities such as lectures and seminars varies year on year and will depend on which optional units you select. As a guide, students on this course last year typically spent their time as follows:

  • Year 1 students: 26% in lectures, seminars and similar learning activities, and 74% studying independently
  • Year 2 students: 24% in lectures, seminars and similar learning activities, and 76% studying independently
  • Year 3 students: 18% in lectures, seminars and similar learning activities, and 82% studying independently

How you're assessed​

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 units 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

Admissions terms and conditions

When you accept an offer to study at the University of Portsmouth, you also agree to our terms and conditions as well as the University’s policies, rules and regulations. You should read and consider these before you apply.

Apply

How to apply

Want to start this course this year?

There are still a few places available. To discuss your options and secure your place, give us a call on (+44) 23-9284-8090 or ask us to call you back.

Want to start this course in 2019?

To start in 2019 you need to apply through UCAS. You can start your application now and submit it from 5 September. You’ll need:

  • the UCAS course code – I1G3
  • our institution code – P80

Not quite ready to apply?

Come to an Open Day to explore our course facilities, tour the campus and have a look around our halls of residence.

If you’re new to the application process, read our guide on applying for an undergraduate course.

How to apply from outside the UK

If you're from outside of the UK, you can apply directly to us or you can 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. 

Contact information
  • Admissions
  • +44 (0) 23 9284 5566

Get in touch

Subject Area
Computing
Mathematics and physics
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