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
Start Date
September 2019, September 2020

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.

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, 4 modules worth 20 credits and 1 module worth 40 credits.

Modules

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.

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

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.

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.

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

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.

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 disability or need extra support, the Additional Support and Disability Centre (ASDAC) will give you help, support and advice.

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 2 assessment periods:

  • September to December – teaching block 1
  • January – assessment period 1
  • January to May – teaching block 2 (includes Easter break)
  • May to June – assessment period 2

Most teaching takes place during the day, Monday to Friday. You may occasionally need to go to University and course events in the evenings and at weekends.

There’s usually no teaching on Wednesday afternoons.

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

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.

Entry requirements​

BSc (Hons) Data Science and Analytics degree entry requirements

Qualifications or experience
  • 104-120 points to include a minimum of 2 A levels, or equivalent.

See the other qualifications we accept

English language requirements
  • English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.

See alternative English language qualifications

Qualifications or experience
  • 104-120 points to include a minimum of 2 A levels, or equivalent.

See the other qualifications we accept

English language requirements
  • English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.

See alternative English language qualifications

​Course costs

Tuition fees (2019 start)

  • UK/EU/Channel Islands and Isle of Man students – £9,250 per year (may be subject to annual increase)
  • International students – £15,900 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 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.

Apply

How to apply

To start this course in 2019, call our Clearing hotline on +44 (0)23 9284 8090 or go to our Clearing section to chat with us online.

To start this course in 2020, apply through UCAS. You’ll need:

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

You can start your application now and submit it later if you want.

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

If you're from outside of the UK, you can apply for this course through UCAS (see the 'How to apply' section above for details). You can also 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. 

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.

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