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Undergraduate study
Computing & Web

Data Analytics and Business Intelligence
BSc (Hons)

I206 BSc/DABI (I208 BSc/DABIFY for Year 0 entry)

 
 
 

Course overview

This course gives you the opportunity to become a data analyst or data scientist, with excellent career prospects. There is a global shortage of data analysts and data scientists so your career prospects are excellent. The employment market for these is currently buoyant at local, national and international levels with starting salaries above that expected for graduates in information technology or computer science.

We have significant expertise and research strengths in the areas of data analytics, AI, machine learning and information security. This course brings together core features of those areas of expertise to create the next generation of data managers and business analysts.

You will graduate with enhanced data collection, analysis and data visualisation skills to assist business executives make informed decisions. You will be fluent in business intelligence (descriptive analytics) and business analytics (predictive analytics) and have an understanding of the emerging data analysis tools made possible through the developments of artificial intelligence in general and machine learning in particular.

 

Course details

Course structure

Year 0 (foundation year) core modules

Agile Development Project

This module gives you the opportunity to undertake a programming project. Working in small teams, you design, develop and demonstrate a software solution that relates to an agreed requirements specification.

Computational Thinking

Algorithms are considered to be at the heart of computing and are critical to developing computer-driven applications. Designing algorithms requires you to think like a machine, using computational thinking to construct procedures to implement as computer programmes.

This module introduces you to the fundamental building blocks of algorithms through classic puzzles and recreational games. You develop your knowledge of design principles and your proficiency in creating algorithmic procedures by cultivating your ability to think computationally in solving puzzles and creating routines for playing simple, computer-enabled games.

Information Systems Development

This module introduces you to the analysis, design and development of simple information systems. You learn the tools, techniques and methods associated with information systems development, such as gathering requirements, modelling requirements, designing data models and implementing a solution.

Introduction to Mathematics

This module introduces the relevant mathematical notations and techniques if you are preparing to study a technical computing degree at undergraduate level. The emphasis is on developing the skills that enable you to understand technical specifications of computing devices.

Topics include the number systems prevalent in computing, algebraic manipulation and equation solving, and the concept of functions – both algebraic and graphical formulations.

The module is delivered through lecture and tutorial sessions. Worked examples illustrate how each mathematical technique is applied. Problem-solving tutorial exercises give you the opportunity to practise each skill or technique.

Introduction to Programming

This module is ideal if you have little or no experience of programming – it uses tools that are easily available, easy to use and familiar to anyone who has used a computer.

You learn how programming language constructs are applied to different problems of increasing complexity. All programming solutions are executed in a web browser although the module is not specifically targeting web development.

 

Year 1 core modules

Business Systems Development

Business intelligence combines the business world and the technical world using technologies, applications and practices for the study of business information, influencing business decision making.

You will combine the analysis of given data sets from business case studies and the subsequent visualisation of narratives identified within the data. You must present business information on a variety of platforms and devices so you will learn how to develop responsive websites using HTML5 and CSS for presentation.

Information Security and Cybercrime

You cover a range of issues relating to information and computer security, including systematic approaches to managing security risks, elementary cryptography, how computers are used in the execution of crime, and how such crimes are investigated.

Introduction to Programming with Javascript

An introduction to programming using JavaScript as the implementation language.

You learn how programming language constructs are applied to different problems of increasing complexity.

All programming solutions are executed in a web-browser, however there is focus on developing your core programming knowledge and skills.

Rapid Application Development

You will learn rapid development applications. It will give you experience of analysing, designing and building web-database applications using a tools-driven approach.

Secure Data Acquisition

You will be introduced to the world of data available to organisations, and to the tools and techniques that are used to acquire, filter and process that data legally and ethically. You will explore issues of data representation and data quality, information architectures and scale. The principles and techniques of information security and governance will be introduced.

Systems Design and Databases

Successful, robust and user-friendly systems or applications begin with a requirements analysis and detailed design. You are introduced to the concepts and techniques of systems analysis and design, enabling you to break down and simplify complex systems and represent them visually using industry-standard approaches such as Unified Modelling Language (UML). In industry, the resulting models are used to communicate designs to developers and stakeholders prior to implementation.

You learn to design and implement fully normalised relational databases as part of an information system. Using data modelling techniques you define how the system stores data and interacts with it. You implement your design using Structured Query Language (SQL): Data Definition Language for creating tables, and Data Manipulation Language for accessing the data.

You develop professional practice and transferrable skills essential for industry, including project management."

 

Year 2 core modules

Artificial Intelligence

This module provides a general introduction to artificial intelligence (AI) with real-world applications around us. This includes the fundamental concepts of AI, common frameworks used in the analysis and design of intelligent systems, generic algorithms used for implementation and major techniques used in problem solving. It also introduces popular applications of AI (for example, game design, virtual agents, robotics etc) and benefits of using AI (for example, how to enhance efficiency, productivity and reduce costs).

Data Visualisation for Business Modelling

Open Source Business Solutions

Rapid Development Systems

This module takes a tools-driven approach to advanced application development; creating rich user interfaces for secure information systems.

Application development tools to generate the code will be used, and you will be taught how to manipulate, enhance and customise the output from these tools to create a unique, bespoke and user-friendly interface with minimal coding. You will build one application throughout this module which will take the form of a fully scaffolded database with a web front-end. The utilisation of web services and plug-in application components to further enhance functionality and usability will be considered.

Relational and NoSQL Databases

You will develop your ability to design and implement database applications to meet business needs. A case study is used to follow the system development life cycle, and you will develop a server database application from inception to implementation for a real world scenario.

The module will investigate the issues and technologies associated with implementing and supporting databases and the services that are needed to maintain and access a repository of data. Investigations will be undertaken in a number of areas including data modelling, data management and approaches that support the modelling and visualisation of data for a range of use views.

 

Final-year core modules

Applied Machine Learning

Machine learning is an important topic in the area of artificial intelligence. The methodology involves building a model of a given task based on observations to make predictions about unseen data. Such techniques are useful when the desired output is known - but an algorithm is unknown, or when a system needs to adapt to unforeseen circumstances. Machine learning draws significantly from statistics and probability theory as (though the applications are many and various) the fundamental task is to make inferences from data samples. The contribution from other areas of computer science is also essential for efficient task representation, learning algorithms, and inferences procedures. You also gain an exposure to a breadth of tasks and techniques in machine learning.

Computing Project

You complete a large scale piece of work, under the supervision of an academic staff member. You produce a substantial artefact relating to the computing field, and complete your report and viva consisting of a presentation, demonstration and discussion of the artefact.

You are guided to develop an appropriate sense of work-discipline coupled with a professional outlook. You take responsibility for the planning and execution of an extended piece of work including the consideration of associated legal, social, ethical and professional issues. You are able to explore in depth a chosen subject area, and thereby demonstrate your ability to analyse, synthesise, and creatively apply what has already been studied on the programme while demonstrating critical and evaluative skills and professional awareness.


Data Analytics for Enterprise

Business intelligence tools are used to show the state of the business to facilitate better and faster business decision making. The next evolution is business analytics which is a technology-aided process which analyses the data to predict future performance.

You will develop skills in combining the analysis of a given data set from a business case study and the creation of dynamic, interactive visualisations that enable decision makers to explore the data through a variety of perspectives.

Using an interactive graphic gives the option to zoom in on sections of the data which are of interest, explore more than one dimension at a time, and sort and filter to discover new patterns and themes within the data.

Emerging Database Technologies

You develop your ability to design and implement big data solutions to meet business needs by using a case study to follow the system development life cycle. You then develop a plausible big data solution from inception to implementation for a real world scenario.

You investigate the issues and technologies associated with implementing and supporting large scale databases and the services that are needed to maintain and access a repository of data. You undertake investigations in a number of areas including big data, data warehouses, integrating legacy data, data management and approaches that support the modelling and visualisation of data for a range of use views.

Information Governance

You identify the goals of information governance, from protecting the needs of the stakeholder to ensuring the transparency of processes and how these link together to support data governance principles such as integrity, transparency, auditability, accountability, standardization and change management.
You study a range of governance topics including law, regulations, and compliance; security governance and risk management; security for cloud architectures and issues around 3rd party data storage.

 

Modules offered may vary.

 

Our Disability Services team provide an inclusive and empowering learning environment and have specialist staff to support disabled students access any additional tailored resources needed. If you have a specific learning difficulty, mental health condition, autism, sensory impairment, chronic health condition or any other disability please contact a Disability Services as early as possible.
Find out more about our disability services

Find out more about financial support
Find out more about our course related costs

 
 

Entry requirements

Entry requirements

A typical offer is 96-112 tariff points including at least two A levels (or equivalent). All applicants are invited to attend an interview.

For additional information please see our entry requirements

International applicants can find out what qualifications they need by visiting Your Country


You can gain considerable knowledge from work, volunteering and life. Under recognition of prior learning (RPL) you may be awarded credit for this which can be credited towards the course you want to study.
Find out more about RPL

 

Employability

Career opportunities

Throughout your course we offer a wide range of business networking opportunities for you to extend your knowledge of the industry and show case your skills, enhancing your opportunity of securing your dream job. We host events such as:-

  • ExpoTees our end of course showcase of graduate work which attracts over 150 business who are looking for the emerging talent in the digital fields.
  • ExpoTential and ExpoTalent are student showcase events taking place in the first and second year of your course aimed at preparing you for the final year ExpoTees event, ensuring you are at your best when you exhibit in your final year. These events attract around 80 business representatives all looking to identify future digital talent.
  • Students Futures Week – a week-long event in which business partners network with our students across all years of study. Providing industry panels, presentations and networking opportunities this week builds professional skills and knowledge in your field preparing you for your next step in your career.
  • Drawing on our extensive industry links we invite guest speakers in your field to present to our students. Throughout your course we bring in industry speakers to ensure that you develop your knowledge of the industry that you plan to build your career in. In addition to covering technical subjects these speakers provide an insight into what employers are looking for in their employees, from technical to professional skills.

 

Information for international applicants

Qualifications

International applicants - find out what qualifications you need by selecting your country below.

Select your country:

  
 

Useful information

Visit our international pages for useful information for non-UK students and applicants.

Talk to us

Talk to an international student adviser

 
 

Full-time

Entry to 2019/20 academic year

Fee for UK/EU applicants
£9,250 a year

More details about our fees

More details about our fees for international applicants


What is included in your tuition fee?

  • Length: 3 years (or 4 with a work placement)
  • UCAS code: I206 BSc/DABI
    I208 BSc/DABIFY for Year 0 entry
  • Semester dates
  • Typical offer: 96-112 tariff points and interview

Apply online (full-time) through UCAS

 

Part-time

2019 entry

Fee for UK/EU applicants
£4,500 (120 credits)

More details about our fees

  • Length: Up to 6 years
  • Attendance: Daytime
  • Enrolment date: September
  • Admission enquiries: 01642 342639
  • Semester dates

Apply online (part-time)

 
 
 
 

Facilities

ExpoTalent is a unique opportunity to meet businesses to secure placements, internships and future employment opportunities.

 

Choose Teesside

iPad

Are you eligible for an iPad, keyboard and £300 credit for learning resources?

 

Accommodation

Live in affordable accommodation right on-campus

 

Campus

Study in our town-centre campus with over £270m of recent investment

 

Industry ready

Benefit from work placements, live projects, accredited courses

 

Get in touch

 

Open days

 
 

16 November 2019
Undergraduate open day

Book now