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Undergraduate study
 

Course overview

Increased interest and media attention around the concept of data analytics, often relates to how these techniques are applied within a business context. The ways in which data analysis permeates every area of business activity is of increasing importance, from the rise of artificial intelligence, to the use of big data, business analytics have a key role to play.

You gain the business acumen and knowledge to understand the impact of data on multiple organisational functions, such as marketing, human resources and finance.

This broad-based degree gives you a comprehensive understanding of business concepts and models with specialist knowledge of data management and data strategy. You study business organisation, management, leadership and enterprise combined with specialist modules in data management.

You develop your entrepreneurial skills through innovative learning and teaching methods, with a practical applied focus throughout. This gives your CV the edge, ensuring you have the skillsets to match the requirements of industry and the needs of this growing business discipline.

Our staff have an extensive range of professional experience and research interests, bringing stimulating and relevant content to the programme. You engage with industry experts and professionals, to ensure that you are fully engaged with industry current practice and insight.

Top five reasons to study business and data analytics at Teesside

  • Career ready: work with regional, national and global businesses on live projects, helping you build career networks and solve real-time problems.
  • Industry input: we work with brands including Coca-Cola, Apple, Adobe, Microsoft, KPMG, Ernst & Young, and Johnson & Johnson to give you experience of working with global organisations.
  • International travel: get a global outlook through international study with our partners in Germany, Czech Republic, Spain, China, India, Singapore and UAE.
  • Work experience: work experience opportunities including placements and internships with regional, national and global businesses.
  • Become entrepreneurial: Teesside University students have created 500 new business start-ups through Launchpad – an on-campus start-up community who provide support and advice for students looking to start a new business venture.

* Subject to University approval

 

Course details

Year 1 is mainly tutor-led and focuses on providing you with the necessary broad business knowledge and skills. The principles and techniques of information security and governance are introduced, and develop intricate programmes to solve complex problems, using data structures and appropriate algorithms. You study a variety of algorithmic techniques and the use and importance of data structures, and are introduced to classifying data according to its abstract behaviour, as distinct from its representation. You explore key business and management concepts as well as those in your specialist area. You are also introduced to the diverse world of data available to organisations, and to the tools and techniques used to acquire, filter and process that data legally and ethically. You explore issues of data representation and data quality, information architectures and scale.

Year 2 takes a more student-led approach with an emphasis on exploring your own interests and deepening your insights as well as having more responsibility for your own learning. You develop a broader international perspective to the study of business. As well as studying four core business modules, including a module where you gain practical work experience through a self-identified project, you also explore the background to classical algorithms and data structures, touching upon advanced topics such as computational hard problems. Building upon these foundations, you are introduced to algorithm techniques specifically developed to handle large data sets. You cover parallel algorithms, data stream algorithms and web domain problems, such as search engines and advertising, and discuss a variety of applications. You undertake a big-data project, taking into consideration appropriate legal, ethical and professional issues. Working in a small team, you determine the project aims, objectives, roles, tasks, schedules, and documentation requirements. You critically evaluate your major deliverable, comparing it to state-of-the-art research work, which includes obtaining third-party evaluation where appropriate.

Between Year 2 and your final year you have the opportunity to spend a year in industry on placement or study abroad at one of our partner institutions.

The final year explores more advanced topics within business and management and you develop your awareness of your own responsibility as a future leader of business. You are introduced to data mining which describes the process whereby large volumes of data are automatically or semi-automatically searched for trends or significant patterns. Typically, it is used as a tool for commercially-orientated research. However, other applications include biochemistry and law enforcement. You consider the legal and ethical implications of data mining, and the associated UK legislation which is designed to protect privacy. Using data visualisation you develop practical skills in using industry-standard hardware and software to develop reconstructions appropriate to the requirements of such diverse disciplines as medicine, forensics, astronomy, archaeology, geology and climatology. The technologies involved in tools for the acquisition of spatial and scientific data are reviewed with their influence on visualisation discussed. You have the opportunity to put your knowledge into action by undertaking a self-managed independent project through the Dissertation module.

Course structure

Modules for this course will appear here soon.

Modules offered may vary.

 

How you learn

Teaching and learning is through a mixture of lectures, seminars, workshops and practice-based projects, delivered by tutors within Teesside University Business School and the School of Computing, Engineering & Digital Technologies. You also hear from guest speakers and marketing practitioners and we support and facilitate you to engage with as many businesses as possible to gain a thorough applied insight into data analytics and wider business disciplines.

How you are assessed

You are assessed through a combination of individual and/or group written assignments, practical assessments, presentations and projects. The focus on employability and practical application means that you are assessed through live project activity, where you are challenged to take the taught understanding from a module and apply that knowledge with a live business setting; working in collaboration with real businesses.


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 80-104 points from at least two A levels (or equivalent), together with maths and English at GCSE grade 4 (grade C) or above (or equivalent).

We welcome applications from mature students without conventional entry requirements. We take into account any alternative qualifications or other experience you may have.

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

This degree opens up career opportunities in a wide range of business disciples and within an increasing range of industries. Roles include data analyst and operations manager roles, and roles within the digital marketing industry, amongst a host of other opportunities. You develop skills which employers require and are relevant to their business.

Through guest lectures and live projects you have lots of opportunities to engage with potential employers. You also have access to workshops and events throughout your course and extensive support to help you secure an optional work placement.

Our award-winning careers service works with regional and national employers to advertise graduate positions, in addition to providing post-graduation support for all Teesside University alumni.

Work placement

 

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 enrolment adviser

 
 

Full-time

Entry to 2020/21 academic year

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

More details about our fees

Fee for international applicants
£13,000 a year

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: N245 BA/BDA
  • Semester dates
  • Typical offer: 80-104 tariff points

Apply online (full-time) through UCAS

 

Part-time

  • Not available part-time
 
 
 
 

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