Business Intelligence Data Analytics (Top-Up) via Study Centres BSc (Hons)

Learn how to effectively use business intelligence and data analytics technologies and tools. Focus on current research in the field of computing and digital technologies for business success. Consider the professional and ethical requirements of big data.

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Overview

This top-up course is informed by data science, AI and machine learning. Data science research has impact wherever analysis of large-scale complex data is useful. It enables businesses and policy makers to determine trends, it can be used in disease prevention, preventing terrorist attacks, cybersecurity, combatting crime and in the discovery of new scientific knowledge. You will learn a range of industry specific software and tools such as Oracle, Python (Anaconda Navigator), R Studio and Weka.

This course is delivered at our study centre in Botswana. Please contact the study centre directly for more information about start dates and fees.

Why us?

Our blended teaching and learning approach will expose you to real-world industrial activity while developing essential practical skills

Subjects are taught from global perspective, equipping you with the skills and knowledge to thrive in a range of careers in an international marketplace

Course structure

We employ a blended teaching and learning approach and work consistently to expose you to real-world industrial activity while developing essential practical skills. You will learn through a mix of lectures, interactive lectorials, lab-based practicals, classroom-based seminars, group problem-solving sessions, case studies, guest expert lectures, one-to-one and group supervision and online learning.

You will be assessed mostly by practical coursework, with some written assessments and occasional written examinations or time-constrained assessments.

Course modules

Core modules:

Research Module (20 credits)

Undertake advanced study in order to define, plan and a develop a proposal for a research investigation and scope, plan, develop and produce an academic research paper.

Product Development (20 credits)

Work with a client to develop a practical solution to a business problem, using up-to-date practitioner methods across the project life cycle.

Business Intelligence and Strategy (20 credits)

Learn about the practical applications of big data in a business context and gain a critical awareness of the strategic challenges and opportunities afforded by business intelligence to organisations. Consider the professional and ethical requirements of big data.

Advanced Data Technologies (20 credits)

Understand how traditional and newer data models and database technologies support real world demands of data. Investigate various data architectures and how they can represent structured and unstructured data in traditional and big data systems, methods for designing, developing and maintaining these data systems, and tools for data access and analysis including data analytics tools and how they are used in areas such as data science.

Artificial Intelligence (20 credits)

Gain a broad introduction into AI techniques and a detailed understanding of the application of some critical approaches, so that when you go into industry or research, you are able to choose and develop a solution using the correct AI techniques for the problem.

User Experience Design (20 credits)

Study the principles and practices that ensure users gain the most appropriate experience when interacting with computer-based software and hardware systems. Focus on the three core principles of interaction design: understanding users and their contexts which involve learning techniques to profile users and analyse their tasks, design principles such as layout and dialogue design, and user-centred evaluation methods such as usability testing and expert inspection.

Facilities

Please contact the study centre directly for more information about their facilities.

Entry requirements

We don’t currently display entry requirements for United States. Please contact the Student Admin team on studentadmin@sunderland.ac.uk or 0191 515 3154.

Please contact the study centre for more information on their specific requirements and equivalent qualifications from outside the UK.

Fees and finance

Please contact the study centre directly for information on fees, finance and start dates.

This information was correct at the time of publication.

A birds eye view of students dressed in graduation ceremonial gowns and mortar boards. One student in the centre is smiling up at the camera.

Career ready

You will graduate as a technically competent data and information systems analyst with experience of up-to-date methodologies, opening up a wide range of employment opportunities.

Your career options

With the global data and business analytics market value continuing to increase, there is a clear demand for data analytics professionals.

Our graduates in this area are working as Software Developers and Data Engineers at financial institutions including JP Morgan and Deloitte and software development companies such as Accenture.

You will be given additional support in career planning, preparing to apply, preparing your CV, interview techniques and much more, meaning you will well equipped to apply for exciting, high-salary positions such as data analytics analyst or big data consultant.

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Contact

Contact the Student Helpline for further information about studying at the University of Sunderland:

0191 515 3000

student.helpline@sunderland.ac.uk

View Programme Specifications for the Faculty of Technology.

Page last updated: 08 March 2024

We aim to provide clear, accurate and timely information to prospective and current students. We continuously review and enhance course content in consultation with our students and the information provided on our website is the latest available. If you have received an offer from us to start a course, we will communicate any important changes to you in writing. We will always seek to ensure that our prospective students are fully aware of the basis on which they are accepting an offer.