Graphs and charts

BSc (Hons)Data Analytics

Why this course?

In the modern world information is everywhere – from the daily stream of financial data emerging from the world’s markets to worldwide internet traffic, personal health records, or simply your local newsagent’s sales figures for the last week.

Understanding this vast array of data is one of the key challenges we currently face and requires expertise in subjects such as mathematics, statistics and computing.

Data Analytics is the science of examining raw data using advanced computing technologies. It's growing to be a fundamental part of modern business and industry.

In fact, in their recent report, The Tech Partnership and SAS UK stated that “Data is the 'new oil'" and that developing talent in data analytics will allow us to refine that oil to power the UK information economy. They also reported that the demand for graduates will skills in data analytics will surge in the coming years.

This new degree will provide you with these cutting edge skills, enabling you to tackle problems in dynamic business environments. It will make you well placed for an exciting and rewarding career in an industry that is set to expand.

What you’ll study

This joint Honours programme is taught in partnership between the Department of Mathematics & Statistics and the Department of Computer & Information Sciences.

Each year contains compulsory classes and some years include either optional classes and/or elective classes.  

Years 1 & 2

Mathematics, statistics and computer science are studied. In addition to core mathematical methods, you'll study:

  • calculus
  • geometry
  • linear algebra
  • probability & statistics

Computer science classes include:

  • machines, languages & computation
  • information & information systems
  • programming foundations
  • logic & algorithms
  • user & data modelling

Years 3 & 4

Classes can be chosen focus on topics such as:

  • experimental design
  • risk analysis
  • survey analysis
  • dynamic modelling
  • network analysis
  • computer programming
  • software engineering
  • artificial intelligence
  • web and mobile applications
  • information access & mining
  • the theory of computation

The final-year project may be carried out in either subject. We work with several companies and organisations to provide suggestions for student projects. These can be either individual or group final-year projects.


Each department has teaching rooms which provide you with access to modern teaching and computer equipment and are conducive to student learning. The undergraduate common room gives you a modern and flexible area which is used for individual and group study work and also a relaxing social space. 

Many data analysis software packages will be used, including those widely used in industry.

Course content

Current students are taking the following classes, and we expect the syllabus to be similar to this in future years.

Year 1

Machines, Languages & Computation
This class will help you achieve a broad knowledge of the essence of computation and computational systems, as embodied by the notions of computable functions, formal languages and recursion, logic and computability and abstract machines.
Information & Information Systems
This class will help you understand a broad knowledge of information systems and how information is created, used and disseminated within an information society.
Programming Foundations
This class will provide you with a solid foundation in the principles of computer programming. On completing this class you should have the necessary skills to be able to design, build and test a small system in a high-level language (Java in the current incarnation of the class).
Introduction to Calculus
You'll study the basic concepts and standard methods of mathematical notation and proof, polynomial equations and inequalities, sequences and series, functions, limits and continuity, differentiation and integration.
Applications of Calculus

The fundamental concepts of calculus (differentiation and integration) presented in Applications of Calculus will be examined in more detail, extended to a larger class of functions by means of more sophisticated methods, including an introduction to complex numbers and variables, all demonstrated in application to practical problems including solving basic first and second-order differential equations.  

Essential Statistics

This class will present some basic ideas and techniques of statistics while introducing some essential study skills.

Geometry & Algebra

This class will highlight connections between geometry and algebra and how they inform each other. It will also include the introductory treatment of vectors and matrices, in particular to their role in linear and affine transformations in 2D and 3D.

Year 2

Advanced Programming

This class will further your skills in object-oriented programming, provide knowledge of key abstract data types along with their implementation and usage, and to provide experience in the development of larger scale software and an introduction to design.

Your main goal is to be able to develop larger programs with specialized data structures and utilizing APIs from a specification, and being able to ensure and show how the system they developed matches the specification.

Logic & Algorithms
This class will equip you with the tools to model and measure computation. To build on the module Machines, Languages and Computation, and develop further understanding of the mathematical foundations of computation. To foster an analytical and empirical appreciation of the behaviour of algorithms and the use of abstract data types.
User & Data Modelling
This class will provide you with a critical appreciation and understanding of how to model user activities and the data to support them, together with how to implement systems and databases to support user activities.
Probability & Statistical Inference

Presentation of the basic concepts of probability theory and statistical inference will be covered to provide you with the tools to appropriately analyse a given data set and effectively communicate the results of such analysis.

Mathematical & Statistical Computing

This class will introduce you to the R computing environment. It'll enable you to use R to import data and perform statistical tests, allow you to understand the concept of an algorithm and what makes a good algorithm and will equip you for implementing simple algorithms in R.

Linear Algebra

This class will give an introduction to the basic ideas of linear algebra, such as matrices and determinants, vector spaces, bases, eigenvalues and eigenvectors.

Multivariate Calculus

The class will present the basic ideas, techniques and results for differentiation of two and three variables, and differentiation along curves, surfaces and volumes of both scalar and vector fields.

Year 3

Building Software Systems

This class will extend and deepen your understanding of the analysis, design and implementation of software systems; to provide further experience in the activity of designing and implementing non-trivial systems; and to enable you to demonstrate practical competence in a group environment.

Your goal is the development in a group setting of significant systems from scratch aiming not just at any solution but a good solution, and to be introduced to more general Software Engineering topics.

Inference & Regression Modelling

This class will:

  • review the concepts of probability distributions and how to work with these
  • present approaches to parameter estimation, focusing on maximum likelihood estimation, bootstrap estimation, and properties of estimators
  • present hypothesis testing procedures, including classical likelihood ratio tests and computer-based methods for testing parameter values, and goodness-of-fit tests.
  • introduce and provide understanding of the least squares multiple regression model, general linear model, transformations and variable selection procedures
  • present use of R functions for regression and interpretation of R output
Stochastics & Financial Econometrics

You'll be introduced to the basic concepts of random phenomena evolving in time, from two complementary points of view: probabilistic modelling and data-driven analysis. Presentation of underlying ideas of simple stochastic processes, time series models, and the associated probability theory and statistical techniques will be covered. In addition to applications of the methods to financial and economic systems, including modelling, data analysis, and forecasting.

Optional classes

You're required to take 20 credits of optional classes from those listed below.

Foundations of Artificial Intelligence

Pre-requisites: Advanced Programming, Logic & Algorithms.

This class will help to give you a broad appreciation of the scale and nature of the problems within Artificial Intelligence and to a detailed understanding of some of the fundamental techniques used to address those problems.

Programming Language Definition & Implementation

The class will provide familiarisation with the definition of programming language syntax and semantics, and the translation of these definitions into an implementation of a programming language.

Web Applications Development

Pre-requisites: Advanced Programming, User & Data Modelling.

This class will give you an understanding of the technologies used in the development of N-tier Internet-based applications.

Functional Programming

Pre-requisites: Basic programming skills, as might be gained by taking the class Programming Foundations or a similar introductory programming class.

To aim is to provide you with skills in basic functional programming and experience in integrated deployment of those skills.

Mobile App Development

Pre-requisites: Advanced Programming

You should gain a good understanding of the issues in developing for mobile environments, approaches to handling these issues and skills in developing for a widespread mobile platform.

Year 4

Communicating Mathematics & Statistics

This class provides you with experience of the skills required to undertake project work, and to communicate the findings in written and oral form using a variety of sources, such as books, journals and the internet.

Individual Project
This class will allow you to demonstrate practical and documentary competence. You'll also be expected to give a demonstration of your work.

Optional classes

You're required to take optional classes from those listed below to ensure that the curriculum contains no fewer than 40 credits in each subject. Students should refer to relevant programme regulations in the University Calendar regarding class selection requirements and credits in order to meet the programme requirements.

Please note that not all classes will be available every year.

List A
Statistical Modelling & Analysis

This class will provide you with a range of applied statistical techniques that can be used in professional life.

Applied Statistics in Society

You'll be introduced to a range of modern statistical methods and practices used in industry, commerce and research, and will develop skills in your application and presentation.

Mathematical Introduction to Networks

This class will demonstrate the central role network theory plays in mathematical modelling. It'll also show the intimate connection between linear algebra and graph theory and how to use this connection to develop a sound theoretical understanding of network theory. Finally, it'll apply this theory as a tool for revealing structure in networks.

List B
Software Architecture & Design

This class aims to:

  • enable you to understand the challenges of advanced software design and the issues associated with large-scale software architectures, frameworks, patterns and components
  • develop your understanding of the tools and techniques that may be used for the automatic analysis and evaluation of software
Theory of Computation
Building on the previous material in software development, you'll extend and formalise your abilities in the area of computational complexity.
Information Access & Mining
This class will allow you to understand the fundamentals of information access and information mining. The class will cover a range of techniques for extracting information from textual and non-textual resources, modelling the information content of resources, detecting patterns within information resources and making use of these patterns.

Learning & teaching

Guest lectures

Several lecturers also work for Government organisations. Through these links you'll have the opportunity to work on real-life problems and analyse real data from these organisations.

Entry requirements

Minimum grades

Required subjects are indicated following minimum accepted grades.


Year 1 entry: AABB or ABBBC (Maths A, Advanced Higher Maths recommended)

Advanced Highers

Year 2 entry: AB (Maths A, Computing Science, involving an appropriate programming language)

A Levels

Year 1 entry: BBB (Maths B)

Typical entry requirements: ABB

Year 2 entry: ABB (Maths A, Computing, involving an appropriate programming language)

Typical entry requirements: AAA

International Baccalaureate

Year 1 entry: 32; Year 2 entry: 36 (Maths HL6, Computer Science, involving an appropriate programming language)


Year 1 entry: relevant HNC with strong mathematical content, B in Graded Unit

Year 2 entry: not offered

Additional information

Deferred entry is accepted.

Widening access

We want to increase opportunities for people from every background. Strathclyde selects our students based on merit, potential and the ability to benefit from the education we offer. We look for more than just your grades. We consider the circumstances of your education and will make lower offers to certain applicants as a result.

Find out if you can benefit from this type of offer.

Fees & funding

How much will my course cost?


  • 2017/18 - £1,820

Rest of UK

  • 2017/18 - £9,250

Bachelor degrees at Strathclyde will cost £9,250 a year, but the total amount payable will be capped at £27,750 for students on a four-year Bachelors programme. Students studying on integrated Masters degree programmes – for example MSci, MEng and MPharm – will pay £9,250 for the Masters year.


  • 2017/18 - £14,000

Additional fees 

Course materials & costs 

Class materials (lecture notes and exercise sheets) for the majority of Mathematics & Statistics classes are available free to download. For some classes, students may need access to a textbook.  Textbook costs are typically in the £20-60 price range.  These prices are dependent on format (e-book, soft or hardback) and whether bought new or second hand.  

PVG scheme (Protection of Vulnerable Groups)

Third-year Maths and Teaching students will need to pay for the full price of a PVG membership scheme.  

Other costs 

£40 returnable deposit for PRS handsets.

Please note: All fees shown are annual and may be subject to an increase each year. Find out more about fees.

How can I fund my studies?

Students from Scotland and the EU

If you're a Scottish or EU student, you may be able to apply to the Student Award Agency Scotland (SAAS) to have your tuition fees paid by the Scottish government. Scottish students may also be eligible for a bursary and loan to help cover living costs while at University.

For more information on funding your studies have a look at our University Funding page.

Students from England, Wales & Northern Ireland

We have a generous package of bursaries on offer for students from England, Northern Ireland and Wales


Graduates with skills in data analytics are in huge demand across all sectors, both nationally and internationally. This demand is predicted to increase in future. The Tech Partnership and SAS UK report forecasted demand to increase by 160% between 2013 and 2020.

Graduates will be well placed for a high-powered career as a data analyst, or data scientist, for example, in online information providers such as Google and Yahoo, social media, banking, insurance and retail industries – both online and high-street.

Contact us


How to apply – 10 things you need to know

  1. All undergraduate applications are made through UCAS
    Go to the UCAS website to apply – you can apply for up to five courses.
  2. It costs £12 to apply for a course
    The cost is £23 for two to five courses.
  3. The deadline is 15 January each year
    This is the application deadline for most courses. However, please check the details for your particular course. View a full list of UCAS key dates.
  4. You might be asked to attend an interview
    Most of our courses make offers based on the UCAS application. However some might ask you to attend an interview or for a portfolio of work. If this is the case, this will be stated in the prospectus entry requirements.
  5. It’s possible to apply directly to Year 2
    Depending on your qualifications, you might be able to apply directly to Year 2 - or even Year 3 - of a course. Speak to the named contact for your course if you want to discuss this.
  6. There’s three types of decision
    • unconditional – you’ve already met our entry requirements
    • conditional – we’ll offer you a place if you meet certain conditions, usually based on your exams
    • unsuccessful – we’ve decided not to offer you a place
  7. You need to contact UCAS to accept your offer
    Once you’ve decided which course you’d like to accept, you must let UCAS know. You don’t need to decide until you’ve received all offers. UCAS will give you a deadline you must respond by.

    You’ll choose one as your firm choice. If the offer is unconditional or if you meet the conditions, this is the course you’ll study.

    You’ll also have an insurance choice. This is a back-up option if you don’t meet the conditions of your first choice.
  8. You don’t need to send us your exam results (Scotland, England & Wales)
    If you’re studying in Scotland, England or Wales, we receive a copy of your Higher/Advanced Higher/A Level results directly from the awarding body. However, if you are studying a different qualification, then please contact us to arrange to send your results directly.
  9. We welcome applications from international students

    Find out further information about our entry and English language requirements.

    International students who don’t meet the entry requirements, can apply for our pre-undergraduate programmes.

    There’s also an online application form.

    For further information:
  10. Here’s a really useful video to help you apply

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