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The University of Lancashire - London
  • Duration 3 Years
  • Start September, January, May
  • Delivery Campus Taught 
  • UCAS Codes 3 Year: ULDA
    4 years: ULDF
  • Institution: C33
Foundation Entry

Combine core business understanding with advanced analytical capability. Learn to interpret data, evaluate business challenges and design analytics-driven solutions that support real organisational decision-making.

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This course has been designed to equip students with advanced knowledge, critical understanding and applied skills to respond to the growing demand for graduates who can combine strong business understanding with advanced analytical capability. Teaching is both industry-led and informed by current research across a range of business sectors, emphasising innovation across business domains while critically engaging with data, models and intelligent systems.

Throughout the course, you will learn how business processes and strategic initiatives are informed by contemporary analytics practice to support interpretation, evaluation and decision-making within organisational contexts. The programme is delivered through a research-informed and practice-focused approach, encouraging you to engage with real-world organisational challenges and to develop transferable skills valued across the private, public and third sectors.

The final year Undergraduate Major Project gives you the opportunity to independently integrate and apply everything you've learned through an evidence-based investigation relevant to contemporary business and data analytics practice — sharpening your research, analytical and professional skills ready for graduate employment or further study.

Meriyam John

Tex Dunstan | Course Leader

“Business today runs on evidence, not instinct. This course will teach you to read the data behind a decision as well as the balance sheet or the market giving you the judgement to know when to trust a model, and when to question it.”

Why study with us

  • Business meets analytics - Build a genuine grounding in core business disciplines — strategy, marketing, finance, operations — while developing the technical fluency to interrogate the data behind them.
  • AI-informed curriculun - Work with conceptual, analytical and data-driven tools and techniques informed by artificial intelligence, used responsibly to augment your own analytical judgement.
  • Career-ready skills - Develop professional communication, critical thinking, problem-solving and collaboration skills valued in business and data analytics careers from day one.

Key Features

  • Access to a contemporary curriculum covering core topics set out in the QAA benchmark statements for Business and Management.
  • Develop cross-cultural competence and global awareness to make effective, ethical and data-informed contributions within diverse, analytics-driven industries.
  • Apply a range of conceptual, analytical and data-driven tools and techniques, including those informed by artificial intelligence, to enhance employability and professional practice.
  • Build employability skills essential to business and data analytics careers, professional communication, analytical and critical thinking, problem-solving, collaboration and influence.
  • Appreciate the social, political, ethical, environmental and global contexts in which business and data operate.
  • Develop and apply evidence-based, data-driven approaches that integrate core business concepts with data analytics techniques in real-world organisational contexts.
  • Study a curriculum informed by academic research, industry practice and market requirements, referencing frameworks including the UK Government DDaT Capability Framework, BCS, CMI and the CFA Institute.

Learning outcomes

Learning outcomes for the award of: CertHE (Level 4) 

  1. Apply basic research methods appropriate to business and data analytics, factoring in strengths, limitations and ethical issues.
  2. Demonstrate introductory understanding of key business and data analytics perspectives — data, analytics, intelligent systems, decision-making, business functions and operations.
  3. Understand core principles and practices within business and data analytics.
  4. Apply methods, tools and techniques to develop solutions that meet business needs.
  5. Manage workload and time effectively to meet deadlines.
  6. Reflect on personal strengths and limitations to develop personally and professionally.
  7. Demonstrate proficient use of IT to present ideas.

Learning outcomes for the award of: DipHE (Level 5)

  1. Apply basic research methods appropriate to business and data analytics, factoring in strengths, limitations and ethical issues.
  2. Demonstrate understanding of key business and data analytics perspectives — data, analytics, intelligent systems, decision-making, business functions and operations.
  3. Understand core principles and practices within business and data analytics.
  4. Apply methods, tools and techniques to develop solutions that meet business needs.
  5. Manage workload and time effectively to meet deadlines.
  6. Reflect on personal strengths and limitations to develop personally and professionally.
  7. Foster and maintain meaningful connections and networks to act autonomously and collaboratively, enhancing employability skills.
  8. Use IT effectively to research and analyse quantitative and qualitative data, presenting and justifying ideas and recommendations.

Learning outcomes for the award of: BSc (Level 6)

  1. Apply research-informed methods appropriate to business and data analytics, factoring in strengths, limitations and ethical issues.
  2. Demonstrate understanding of key business and data analytics perspectives — data, analytics, intelligent systems, decision-making, business functions and operations.
  3. Understand core principles and practices within business and data analytics.
  4. Apply methods, tools and techniques to develop solutions that meet business needs.
  5. Manage workload and time effectively to meet deadlines.
  6. Reflect on personal strengths and limitations to develop personally and professionally.
  7. Use IT effectively to research and analyse quantitative and qualitative data, presenting and justifying ideas and recommendations.
  8. Specify, design, construct and document business and data analytics solutions and systems.
  9. Apply research-informed principles and practices that address complexity and uncertainty, justifying approaches adopted and reflecting on their effectiveness.
  10. Foster and maintain meaningful connections and networks to act autonomously and collaboratively, enhancing employability skills.
  11. Demonstrate detailed judgement, critical thinking and problem-solving to solve well-specified and loosely defined problems with appropriate solutions.
  12. Interpret and apply business and data analytics theories, concepts and evidence-based practice to understand requirements and their broader contexts of operation.

Modules

Foundation:

  • Data Skills
  • Research Skills
  • Computer Skills
  • Professional Development Skills

Year 1:

  • Academic & Professional Skills
  • Introduction to Business
  • Economics for Analysts
  • Data Analytics

Year 2:

  • Data Visualisation
  • Marketing for Analysts
  • Finance Analytics
  • Decision Intelligence

Year 3:

  • Operations Analytics
  • Cognitive Systems
  • Executing Business Strategy
  • Undergraduate Major Project (Business Contexts)
  • More information

What you'll do

You will be allocated a Personal Tutor at the start of your course. This will be your first point of contact for questions about your studies. Regular sessions with your tutor ensure they will be up to date with your academic progress and able to offer insightful guidance to assist you in reaching your full potential.

Teaching combines lectures, seminars, workshops, case-based learning and simulations, helping you connect business theory to real-world data and decision-making. Sessions are research-informed and practice-focused, encouraging discussion, reflection and critical engagement as you build the analytical, professional and decision-making skills expected at degree level.

Alongside your timetabled teaching, you'll build confidence through guided independent study — reading, preparing for seminars, working on assessments and consolidating what you've learned. You'll have access to a free digital core textbook, the Virtual Learning Environment, and live support from the Learning Resource Centre, so you're never short of help when you need it.

Assessment

We’ll assess your progress through a variety of methods from coursework, group assignments, activity-based assignments and exams. You can expect to part take in on-going problem-solving activities, projects and presentations. You’ll also be able to access support material through our Virtual Learning Environment (VLE).

Entry requirements

96 UCAS tariff points from 3 A Levels or equivalent, e.g. CCC.

 

Alternatively;

Irish Leaving Certificate: BBCCC.

Scottish Highers: BBCCC.

BTEC Level 3 Extended Diploma: DMM in a related subject.

International Baccalaureate Diploma: 24 points.

All applicants are required to have at least 3 GCSEs at grade C, or grade 4, or above, including English and Maths.

Candidates must demonstrate a certificated level of proficiency of at least IELTS 6.0 (Academic level) or equivalent English Language qualification.

For Foundation entry, applicants require a minimum of 40 UCAS Tariff points.

Candidates who meet the above entry criteria for either foundation and standard entry, but have been out of study for 5 years, will be required to pass an academic interview.

We will also consider applications to level 3 entry from those who are not able to meet our normal course entry requirements but can demonstrate that they have achieved the required level of knowledge and skills and have the potential to benefit from the course, for example: through relevant work experience and professional development.

Non-Standard Entry (Mature 21+): We require an academic Level 3 qualification (Ofqual recognised) OR a Level 2 qualification in the desired field of study accompanied with work experience within this field in the last 5 years.  Candidates in this category would be required to pass an academic interview.

Careers

In today's tough jobs market, graduates need to stand out from the crowd to successfully secure that all important first full-time job after university. We believe your degree from UCLan London will enhance your employability.

Associated Jobs:

  • Business Analyst
  • Data Analyst
  • Marketing Analyst
  • Financial Analyst
  • Operations Analyst
  • Business Intelligence Analyst
  • Management Consultant
  • Data Visualisation Specialist
  • Insights & Decision Analyst

Business & Data Analytics graduates have the opportunity to pursue diverse career paths across a wide range of industries. They can find roles in sectors such as financial services, technology, retail, consulting, and the public sector. A degree in Business & Data Analytics will provide a foundation of knowledge, preparing graduates for roles that require a strong grasp of data, analytical tools and evidence-based decision-making. With a Business & Data Analytics degree, graduates will develop a data-driven business mindset and essential analytical skills that are highly sought after by employers worldwide.

Timetable

Standard delivery:

Studying on campus 2 days a week which is Monday - Friday (10:00-17:00)

Fees and funding

UK
Full-time £9,535 per year 2025-26 
£9,790 per year 2026-27

Foundation Year
Full-time £5,760 per year 2025-26

*UK tuition fees are subject only to annual increase in line with UK Retail Price Index (RPI) inflation rate and increases permitted by the UK Government.

Scholarships and Support

Top Achievers

Scholarships of £2,000 are available for the overall Top Achievers in Year 0 (Foundation Year), Year 1 and Year 2.

The winners are presented with their scholarships during our Top Achievers event which is hosted twice a year. The scholarship is applied to tuition fees for the next academic year.

Student Support Bursary

The Student Support Bursary has been designed to help students cover the costs of studying at university in the city each semester. Eligible students can receive a payment of £250 for each semester, with the opportunity of receiving up to £500 per Academic Year.

Requirements:

  • Studying for an undergraduate degree
  • 80% minimum attendance across all modules for the semester 
  • Submitted all assessments on time (If an assessment offence has been proven, it will be considered as non-submission)
  • Successful completion and passing of the mandatory module on “Expect Respect: Harassment and Sexual Misconduct”, accessed via the VLE

The Student Support bursary is only available to fee-paying students studying a minimum of 60 credits per trimester. Students taking resits who are not paying tuition fees are not eligible.

The eligibility of students will be assessed at the end of Semester 1 and Semester 2. If you qualify to receive the Student Support Bursary for Semester 1, the required attendance and assessment criteria would have to be maintained during Semester 2 to qualify for the second payment at the end of Semester 2.

Payment:

  • For qualifying students, the payment will be £250 after the assessment results are confirmed for Semester 1, and £250 after the results are confirmed for Semester 2.
  • You will be notified by email as to what date you can expect payment to be made.
  • Should you qualify for the Student Support Bursary, you will be able to enter your bank details in a secure repository on VLE which will be used by Finance to make the payment. You will be solely responsible for ensuring the accuracy of these details. UCLan London will not be liable for any loss as a result of incorrect payment details.

Attendance Monitoring:

  • You can keep track of your attendance online through the VLE and this is updated on a daily basis.
  • Please note that if you record your in-class attendance later than 10:30 am (if you have a lecture in the morning), 2:30 pm (if you have a lecture in the afternoon) and 6:30pm (if you have a lecture in the evening), you will be marked as absent.
  • If you believe you are having a technological issue registering your in-class attendance via VLE, please make an attendance enquiry through VLE for assistance. 

UCLan London reserves the right to withdraw the bursary at any time if deemed necessary.

Please read the UCLan London Student Support Bursary Terms & Conditions for more information here.

If you have any issues with your attendance, please email the attendance team at: icentre@london.uclan.ac.uk

If you have any enquiries about the bursary, please email the finance team at: finance@london.uclan.ac.uk

DSA Grant

This request is available for students who are unable to pay the contribution of £200 towards the DSA equipment. We will need a copy of the Disabled Student Allowance Entitlement letter from Student Finance before we can assess your application. If you would like to apply for the DSA grant, please send an email to finance@london.uclan.ac.uk. 

Please note this is only available to students with an approved Disabled Student Allowance from the Student Loan Company.

If you need to take a diagnostic test to support your application to Student Finance England, you may be able to apply for a DSA grant to cover some of the costs. Please send an email to finance@london.uclan.ac.uk to find out what support is available to you.

To read our 2025/26 DSA grant terms and conditions, please click here.