Extended Undergraduate Programme in Data Science

Extended Undergraduate Programme in Data Science

Tuesday, 10 November 2026 21:52:45

International applicants and their qualifications are accepted

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This course offers a fast-track mode for those looking to dive into data science fundamentals in just one month. Ideal for beginners or career changers, it's delivered 100% online by LSIB, making learning accessible and flexible. Enrol now to gain essential skills quickly and boost your career prospects.

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Overview

Overview

The Extended Undergraduate Programme in Data Science course UK provides a robust RQF Level 6 foundation for aspiring analysts. This qualification bridges the gap between A-levels and degree entry, delivering essential technical expertise. You gain industry-relevant skills in statistical reasoning, Python programming and machine learning. The online format offers complete flexibility for working adults seeking career progression without campus attendance.

Students engage with real-world datasets through practical labs and project-based assessments. The curriculum covers data cleansing, visualisation techniques and predictive modelling algorithms. You will learn to interpret complex information and communicate insights to non-technical stakeholders effectively. This structured approach ensures you build confidence in handling big data environments. Module content aligns with current industry standards, preparing you for roles in finance, healthcare and technology sectors.

Graduates typically pursue positions as Data Analysts, Business Intelligence Officers or Junior Data Scientists. The programme serves as a direct pathway to a full BSc Honours degree in Data Science. Entry requirements focus on academic potential rather than prior specialised experience. Ofqual regulates the awarding body, ensuring rigorous quality assurance and recognition. Successful completion enhances employability in the digital economy. You gain a competitive edge through demonstrable technical competence and analytical thinking.

Content updated: 9 November 2026

The Extended Undergraduate Programme in Data Science course provides a Level 6 qualification for career changers seeking data skills. This fully online degree path delivers practical analytics training without requiring prior coding experience.

LevelLevel 6 (Undergraduate)
DurationTypically 2 years
Study mode100% online
AssessmentCoursework and practical labs
Entry requirementsA levels or experience
Awarding bodyOfqual-regulated

What You Will Learn

Students master core technical competencies required by modern data teams. The curriculum balances theoretical statistics with applied programming techniques. Learners build a professional portfolio through real-world project work.

  • Python programming for data analysis
  • Statistical modelling and hypothesis testing
  • Machine learning algorithm application
  • Big data processing and management
  • Interactive data visualisation techniques

Course Structure and Modules

The programme follows a modular structure designed for flexibility. Each unit builds directly upon previous technical foundations. Students engage with industry-standard tools throughout the year.

  • Programming for Data
  • Statistics and Probability
  • Machine Learning Fundamentals
  • Big Data Analytics
  • Data Visualisation and Reporting

Delivery and Duration

You study remotely with full tutor support available. The flexible schedule accommodates working professionals effectively. Completion typically takes two years of dedicated study.

  • Self-paced online learning platform
  • Weekly live tutor sessions
  • Access to cloud computing labs
  • Dedicated student support services

Assessment

Evaluation focuses on practical application rather than written exams. Students demonstrate competence through submitted projects and reports. Feedback is detailed and aimed at skill improvement.

  • Practical coding assignments
  • Data analysis project reports
  • Technical presentation deliverables
  • Reflective practice documents

Entry Requirements

Admissions consider academic history and professional experience equally. Candidates need A levels or equivalent qualifications. Relevant work experience also satisfies entry criteria.

  • GCSE Maths and English at grade C
  • Relevant professional employment history
  • Personal statement outlining career goals
  • References from current employers

Progression

Graduates often complete a final year for a full BSc. Many move directly into junior data roles. The qualification supports long-term career development in tech.

  • Data Analyst positions
  • Junior Data Scientist roles
  • Business Intelligence Coordinator
  • Further postgraduate study

Is this data science course recognised in the UK?

Yes, the awarding body is regulated by Ofqual. Employers accept this Level 6 qualification for graduate roles.

Explore the detailed module content and career insights below.

Where the learning focuses
Relative emphasis across the Extended Undergraduate Programme in Data Science programme (indicative score out of 100)
Applied practical skills
89
Professional practice
86
Career readiness
81
Core subject knowledge
74
Leadership and communication
69
Analysis and research
62
What graduates typically go on to do
Indicative share of learners by next step after completing the course
Specialist or consultant role
72%
Further study or research
72%
Move into a new sector
66%
Progress into a senior role
54%
Start or grow a business
32%

Figures are indicative and shown for illustration. Source: LSIB course insights.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

  • Extended Undergraduate Programme in Data Science course UK: online Level 6 qualification
  • Programming for Data: learn Python coding fundamentals
  • Statistics: analyse datasets using probability theory
  • Machine Learning: build predictive models effectively
  • Big Data Analytics: process large scale information
  • Data Visualisation: create clear interactive charts
  • Research Methods: design rigorous data studies
  • Advanced Algorithms: optimise complex computational processes
  • Ethical Data Practice: apply UK regulatory standards
  • Final Project: solve real world business problems
  • Career Preparation: develop professional data science skills
  • Industry Collaboration: engage with current sector trends

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): £175
2 months (Standard mode): £150

1 month (Fast-track mode) - £175

2 months (Standard mode) - £150

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

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Career path

What jobs can I can do with an Extended Undergraduate Programme in Data Science course?
You can start as a Data Analyst, Business Intelligence Analyst or Junior Data Scientist. These roles exist in finance and healthcare sectors right now.

Roles you could step into

  • Data Analyst — extract insights from complex datasets to drive decisions
  • Business Intelligence Analyst — build dashboards that reveal hidden business trends
  • customer patterns
  • Junior Data Scientist — develop predictive models using machine learning techniques
  • Data Engineer — design robust pipelines for efficient data storage solutions
  • Analytics Consultant — advise clients on data-driven strategic planning methods

Where you could work

Technology firms, financial institutions, public sector organisations, retail groups, healthcare providers and consultancy agencies hire graduates like you.

How your career can grow

  • First role: apply Python and SQL skills to real problems
  • Within a few years: lead projects and mentor junior team members
  • Senior level: become Head of Data Strategy or pursue a Master’s degree

What jobs can I get with a Level 6 Data Science qualification?

Employers value the practical skills and analytical mindset you gain here.

Explore careers after Extended Undergraduate Programme in Data Science today.

Key facts about Extended Undergraduate Programme in Data Science

Course: Extended Undergraduate Programme in Data Science
Level: RQF Level 6 undergraduate degree standard
Duration: typically 2 years full time or part time
Study mode: 100% online learning with tutor support
Assessment: coursework projects, practical labs and reports
Entry requirements: A levels or equivalent work experience
Awarding body: UK Ofqual-regulated awarding organisation
Progression: BSc Hons Data Science, Data Analyst roles

Why this course?

Extended Undergraduate Programme in Data Science course UK stands out for its 100% online delivery and direct progression to a BSc honours degree. This level 6 qualification equips career changers with vital data skills without disrupting current employment.

Level: 6
Duration: typically 2 years
Mode: 100% online learning

Why choose this data science course

  • Flexible online study — learn at your pace
  • Expert tutor support — personalised academic guidance
  • Recognised qualification — Ofqual-regulated awarding body
  • Strong progression — path to BSc (Hons) Data Science
  • Employability skills — practical labs and projects
  • Relevant core units — machine learning and statistics

Is Extended Undergraduate Programme in Data Science worth it?

Yes. The programme delivers industry-standard knowledge in big data analytics and programming. It aligns with sector demands for data analysts and scientists. Students gain hands-on experience through coursework and reports. This approach builds confidence in real-world scenarios. The structure supports working professionals seeking upskilling. You avoid campus commuting while accessing UK-level education. The curriculum covers essential topics like data visualisation. Such breadth ensures readiness for competitive job markets. Employers value the practical focus of this study.

Start your application today.

Who should enrol in Extended Undergraduate Programme in Data Science?

The Extended Undergraduate Programme in Data Science course serves career changers and working professionals aiming to build technical expertise in analytics without attending campus. This Level 6 qualification delivers UK-regulated education entirely online.

  • Marketing managers seeking machine learning skills
  • HR specialists wanting data visualisation abilities
  • Retail analysts needing big data tools
  • Career changers desiring data science roles
  • Graduates looking to upskill in statistics

This route is not suitable for students seeking a standard three-year undergraduate degree without additional study time.

Entry requirements demand A levels, equivalent qualifications, or verifiable relevant work experience. You must demonstrate commitment to coursework projects and practical labs.

Verify your fit by reviewing the core units and ensuring your current schedule allows for consistent online study. The programme typically runs for two years full time or part time.