Postgraduate Diploma
in Data Science & Business Analytics

Master data science and business analytics with industry-ready training, hands-on projects, and expert support. Enrol in our postgraduate diploma today.

postgraduate diploma in data sciences and business analytics students learning data analysis on laptops in a modern classroom

Format

Online

Intakes

Flexible

Duration

6 Months

Location

Self Paced

Credits

120

Fees

£4,750

Format

Campus

Intakes

Feb, Jun, Oct

Duration

6-9 Months

Location

London

Credits

120

Fees

Intl: £12,000 UK/EU: £7,250

Programme Overview

The Postgraduate Diploma in Data Sciences & Business Analytics is designed to develop advanced analytical, technical, and strategic skills required to transform data into actionable business insights. The programme combines data science techniques with business analytics, enabling learners to support evidence-based decision-making across a wide range of industries.

The course focuses on data analysis, statistical modelling, machine learning, data visualisation, and business intelligence, while emphasising ethical, legal, and governance considerations. Learners gain both technical competence and managerial insight, preparing them for leadership roles in data-driven organisations or progression to postgraduate research or Master’s degrees.

Benefits and Career Impact

Advanced Knowledge & Expertise

• Gain in-depth understanding of data science, business analytics, and statistical methods

• Develop practical skills in data analysis, machine learning, and business intelligence

• Understand how to translate complex data into actionable business insights

Analytical & Technical Skills

• Strengthen data-driven decision-making and problem-solving skills

• Develop competence in data modelling, forecasting, and predictive analytics

• Improve ability to work with large, structured, and unstructured datasets

• Build skills in data visualisation and storytelling for different audiences

Career & Professional Development

• Increase employability for analytics and data-focused roles

• Improve opportunities for promotion, salary progression, and career mobility

• Gain confidence to contribute to strategic and operational decision-making

• Prepare for progression to a Master’s degree (MSc, MBA with Analytics)

Personal & Professional Growth

• Develop independent research and critical thinking skills

• Enhance communication skills with technical and non-technical stakeholders

• Build awareness of ethical, legal, and governance issues in data use

Improved Decision-Making

• Enable evidence-based, data-driven strategic and operational decisions

• Reduce reliance on intuition by using accurate analysis and insights

• Improve forecasting, planning, and performance management

Enhanced Business Performance

• Identify trends, risks, and opportunities through advanced analytics

• Optimise processes, costs, and resource allocation

• Improve customer insights, segmentation, and retention strategies

Governance, Ethics & Risk Management

• Support compliance with data protection and privacy regulations (e.g. GDPR)

• Promote responsible, ethical, and secure use of organisational data

• Reduce risks associated with poor data quality or misuse

Organisational Capability & Innovation

• Build internal analytics capability and reduce dependency on external consultants

• Encourage a data-driven culture across teams and departmentsSupport digital transformation and innovation initiatives Competitive Advantage

• Enable faster and smarter responses to market changes

• Improve operational efficiency and customer experience

• Strengthen the organisation’s position in data-driven and competitive markets

business analytics dashboard with graphs, charts, and kpis used in data science training programme

Learning Outcomes

  • Critically evaluate key theories, tools, and techniques used in data science and business analytics

  • Understand the role of data analytics in strategic and operational business decision-making

  • Evaluate the impact of emerging technologies such as AI and machine learning on business analytics

  • Apply critical thinking and problem-solving skills to complex, data-driven business challenges

  • Interpret analytical outputs to generate meaningful insights and recommendations

  • Evaluate alternative analytical approaches and justify appropriate model selection

  • Collect, clean, and prepare data for analysis using appropriate tools and techniques

  • Communicate data insights effectively to technical and non-technical stakeholders

  • Apply professional standards and ethical principles in analytics practice

  • Demonstrate independent learning and research skills at postgraduate level

  • Manage projects, time, and resources effectively

  • Reflect on professional practice to support continuous development

Who Choose this Programme?

  • Graduates from business, IT, computing, mathematics, engineering, economics, or social sciences

  • Learners seeking to transition into data science or business analytics roles
  • Graduates planning to progress to a Master’s degree in data science, analytics, or related fields

  • Business professionals who want to enhance decision-making using data

  • Managers and executives seeking to lead data-driven transformation initiatives
  • Professionals working in:
  • Business analysis
  • Finance and accounting
  • Marketing and customer analytics
  • Operations and supply chain
  • IT and digital transformation

  • Individuals aiming for careers such as Data Analyst, Business Analyst, or BI Analyst
  • Professionals wanting to gain practical analytical and technical skills
  • Those looking to strengthen their technical profile alongside business knowledge

  • Professionals from non-technical backgrounds who want to enter the data and analytics field

  • Learners seeking a structured, postgraduate-level pathway into data-driven roles

  • Entrepreneurs who want to use data to improve business performance and strategy

  • Consultants seeking advanced analytical skills to deliver insight-led solutions to clients

Modules

  • Foundations of Data Science

  • Statistical Analysis for Business

  • Data Management and Databases

  • Business Analytics and Decision-Making

  • Machine Learning for Business Applications

  • Data Visualisation and Business Intelligence

  • Ethics, Governance, and Data Security

  • Research Methods and Professional Practice

Assessment Methods

  • Analytical reports and case studies

  • Practical data analysis projects

  • Presentations and dashboards

  • Research proposal and portfolio

Entry Requirement

Generally, candidates must have an IELTS score of 6.0 with no element scoring lower than 5.5 or an equivalent, as well as a pass or third-class honours degree.

  • We usually require a second class honours degree (2:2) or above.
  • Applicants must demonstrate a minimum of two years of continuous workplace experience gained in a managerial or professional job following graduation.
  • Applicants without an honours degree need to show relevant workplace experience.

English Requirements

  • The most commonly accepted evidence of English language ability is IELTS 6.5 (with a minimum of 6.0 in all components)
  • Applicants without an IELTS should take an internal English test with the LSB admission team.

Fees & Funding

Tuition fees cover the cost of a student’s academic studies. It usually includes teaching costs, registration and examination fees (not repeat or tailing modules, re-sit fees or coursework resubmission). Any costs associated with work placements will be the students’ responsibility.

Full Time Fees £7,250 per year

Full Time Fees £12,000 per year

For full details, please contact us.

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Visit Us

If you are interested in applying we encourage you to visit the School and meet with our recruitment and admissions staff. This is neither a requirement nor expectation if you are planning on applying to the programme.

Academic and Career Progression

Successful completion of the Postgraduate Diploma in Data Sciences & Business Analytics enables learners to progress both academically and professionally by developing advanced analytical, technical, and strategic skills for data-driven decision-making.

Graduates may progress to:

  • A Master’s degree such as:
  • MSc Data Science
  • MSc Business Analytics
  • MSc Artificial Intelligence
  • MBA with Business Analytics or Digital Transformation
  • A Master’s top-up programme, where credits from the Postgraduate Diploma contribute towards a full Master’s qualification
  • Postgraduate research or professional qualifications (subject to entry requirements)

The qualification supports progression into specialist and managerial analytics roles, including:

  • Data Analyst
  • Business Analyst
  • Business Intelligence (BI) Analyst
  • Junior / Associate Data Scientist
  • Analytics Consultant
  • Digital Transformation Analyst

Graduates may pursue careers across a wide range of sectors, including:

  • Finance and banking
  • Marketing and customer analytics
  • Healthcare and life sciences
  • Retail and e-commerce
  • Manufacturing and supply chain
  • Public sector and technology organisations

  • Ability to turn data into actionable business insights

  • Enhanced decision-making and problem-solving skills
  • Strong understanding of analytics tools, models, and data governance
  • Preparation for senior analytics, leadership, and consultancy roles

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At LSB, you will have the chance to study a broad range of subjects. The School offers a unique opportunity to study business alongside other disciplines.

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How to Apply

Enrolling at LSB will help you study in a diverse mix of cultures, providing an opportunity to socialise and make friends from nations across the globe. Apply now, and one of our Admission Advisors will be in touch to support you through the process.

You can use the following link to apply for the programme:
https://www.lsbuk.com/apply/

  • Personal details

  • Family information

  • Extracurricular activities

  • Global interests and experiences

  • Proof of your academic achievements, including official school transcripts

  • Evidence of English proficiency, i.e: TOEFL/IELTS/ Functional Skills Level 2 (if English is not your native language)

  • GMAT/SAT/ACT scores (optional)

  • One academic reference

  • A Personal Statement as an essay (400–500 words)

  • Scholarship and financial aid application included with the application form

In order to assess your eligibility for the programme, we will review your profile and your expectations from your career. This will be done via an in-person, telephonic or video conversation. In addition, we will mark your English proficiency for the course as well, and advise on further actions to be taken on your part.

Once your application and personal assessment interview are completed, you will receive an admission decision within two weeks. If you have any questions regarding the status of your application, feel free to contact your Admission Advisor.

If you are accepted into the program and have decided to start your studies at London School of Business, you must confirm your place prior to confirmation deadline.

Once we confirm your student status with us, we will be sending out useful information regarding your pre-arrival, and pre-enrolment.  Not only that, we will work alongside to make sure you have a seamless arrival in the UK.

Need Help Choosing a Programme?

Choosing the right programme is an important part of your future success. Our dedicated student counsellors are happy to assist you in choosing the right programme that best suits your professional goals. Please contact us on +44 (0)20 3305 8124 or send us an email to mba@lsbuk.com to discuss your requirements and obtain an application form.

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Contact Us
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At London School of Business (LSB) we nurture leaders. “Building Leaders for Business” forms the essence of our existence. We are redefining how businesses operate in London and the rest of the world.

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Get in Touch

  • +44 (0)20 3305 8124

  • info@lsbuk.com