Patrice Seuwou
Associate Professor in Learning & Teaching
level:UG;top_up:true;international:true;foundation:false;clearing:false;full_time:true;part_time:true;start_month:September;location:Waterside
Business Analytics and AI (Top-Up) BSc (Hons)
Key Facts
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Duration
Full Time: 1 year
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Level
UndergraduateUG BSc (Hons)
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Full Time: £9,790
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Full Time: £18,500
Get in touch
UK STUDENTS ENQUIRIES
study@northampton.ac.uk
0300 303 2772
INTERNATIONAL STUDENTS ENQUIRIES
Updated 06/05/2026
Overview
Business Analytics and AI (Top-up) BSc is an innovative and exciting course designed to equip students with the skills and knowledge to thrive in today’s data-driven world. This one-year top-up degree bridges the dynamic fields of information systems, data analytics, and eCommerce, offering a combination of theoretical understanding and practical application.
Business Analytics & AI (top up) BSc aims to equip learners with the ability to critically evaluate contemporary and emerging trends in information systems, business models, and AI, and to apply advanced business analytics, forecasting, and scenario analysis techniques to complex organisational challenges. Through the responsible use of data and technology, learners will develop the skills to communicate data‑driven insights clearly to diverse stakeholders, assess the strategic and workforce implications of AI adoption, and design ethical, well‑governed solutions aligned with organisational and societal needs. Emphasis is placed on rigorous research, evidence‑based practice, and the practical application of analytics to real‑world business contexts.
Through a balanced curriculum, information systems and business data students will enhance their academic, analytical, and problem-solving abilities while developing the technical expertise required to manage and interpret complex data systems.
Highlights
- Practical Application: Engage in real-world projects and research, applying theoretical knowledge to tackle contemporary business challenges
- Cutting-Edge Curriculum: Explore the latest trends in data analytics, AI, information systems, and eCommerce, preparing for future-focused careers
- Career Readiness: Develop essential skills in data intelligence, decision-making, and problem-solving to excel in roles such as data analyst or business consultant
- Industry Connections: Benefit from opportunities to collaborate with local businesses and employers, building professional networks and gaining practical experience
- Flexible Entry Pathways: We welcome students from diverse academic and professional backgrounds with relevant Level 5 qualifications or equivalent
Entry Requirements
Applicants should have successfully completed a relevant Level 5 qualification, such as a Foundation Degree, Higher National Diploma (HND), or an equivalent qualification in a business, data analytics, information systems, computing or related field, equating to 240 credits at Levels 4 and 5.
All International and EU students applying for this information systems course with us must meet the following minimum English language requirements:
- Minimum standard – IELTS 6 (or equivalent) with a minimum of 5.5 in all bands.
Students who do not meet the English language requirement are encouraged to join a pre-sessional English class before the course begins. More information about IELTS test equivalents, pre-session English class, or English support can be found on our IELTS page.
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What You'll Learn
This course has been designed to equip students with the technical capabilities, analytical judgement, and applied business understanding needed to thrive in contemporary, data‑driven organisational environments. learners with the ability to critically evaluate contemporary and emerging trends in information systems, business models, and AI, and to apply advanced business analytics, forecasting, and scenario analysis techniques to complex organisational challenges. Through the responsible use of data and technology, learners will develop the skills to communicate data‑driven insights clearly to diverse stakeholders, assess the strategic and workforce implications of AI adoption, and design ethical, well‑governed solutions aligned with organisational and societal needs. Emphasis is placed on rigorous research, evidence‑based practice, and the practical application of analytics to real‑world business contexts
Altogether, these modules create a coherent and forward‑looking curriculum that equips students with highly relevant competencies for the AI‑enabled workplace. The programme blends technical capability, analytical thinking, and ethical awareness—three pillars consistently identified by employers as essential for modern graduates.
In today’s digitised economy, organisations operate within complex ecosystems shaped by e commerce platforms, digital marketplaces, and rapidly evolving data flows. This module provides students with a robust understanding of the opportunities and challenges created by these interconnected digital landscapes. It enables them to interpret business data effectively and make informed decisions within digitally mediated business environments.
The module examines the latest developments in the design, use, and governance of data and information systems. Students explore contemporary methodologies, AI and machine learning technologies, sustainability considerations, and legal compliance requirements.
The aim of this module is to develop students’ ability to apply advanced analytics techniques to real business challenges. Learners work with visualisation tools, experimentation, and performance metrics to support strategic decision making.
This module equips students with analytical tools for predicting future trends and optimising organisational decisions. By integrating statistical forecasting with prescriptive modelling techniques, students learn how to convert raw data into meaningful insights that enhance organisational resilience and support long term strategic planning.
In this module, students explore the practical applications of AI and automation across business functions. They evaluate AI driven solutions to real organisational problems and consider the broader implications of automation for efficiency, productivity and competitiveness
This module provides students with the ethical reasoning, governance frameworks, and professional judgement needed to manage AI responsibly in real organisational contexts. It reflects emerging regulatory standards, current industry practices, and established professional principles.
Please note the modules shown here relate to the academic year 25/26. The modules relating to the academic year 26/27 will be available from June 2026.
Fees and Funding
2026/27 Tuition Fees
- Full Time: £9,790
UON will adjust fees annually for UK (Home) Students up to the maximum allowable fee cap set by the Secretary of State for Education.
When assessing an applicant’s eligibility to pay home fees, we use the guidance provided by the UK Council for International Student Affairs (UKCISA) which sets out the regulations that have been decided by the UK Government Department of Education.
- Full Time New students: £18,500
Tuition fees quoted for International Students apply only to the 2026/27 academic year. These fees may increase in future years in line with Consumer Price Index (CPI) inflation to reflect rising delivery costs. Any annual increase will be capped at a maximum of 5% of the previous year’s tuition fee. Updated tuition fees will be published on the UON website at least three months before the start of the next academic year.
International students that have opted to enrol on January intake with accelerated pathway will be required to pay deposit of £7,000 required for their re-enrolment onto their second year in September. We therefore urge that you consider preparing necessary funds to cover the enrolment fee in advance.
Additional Information
There are no additional costs for this business analytics and AI course for students beginning their studies in September 2026. Should this change, applicants and students will be contacted by the university with details of the costs.
For information on the scholarships available to you, please see our scholarships page.
For more information about possible funding options, please visit our Fees and Funding pages.
Staff
Xavier Matieni
Senior Lecturer in Business Analytics
Alfred Akakpo
Senior Lecturer in Business Analytics
Samsad Reza
Lecturer in Business Analytics
Mahdi Seify
Senior Lecturer in Project Management
Careers and Employability
Graduates of this course are equipped with the skills and expertise to excel in a variety of roles across multiple industries. This degree focuses on the intersection of business, data analytics, and AI, ensuring graduates are highly adaptable in today’s data-driven marketplace.
Potential Career Paths
- Data Analyst: Interpret complex data to provide actionable insights for businesses
- Business Analyst: Bridge the gap between business needs and technological solutions
- Consultant: Offer strategic advice on data and information systems to drive organisational success
- E-commerce Specialist: Manage and analyse online business models for growth and innovation
