ISM Education × Brit College of Engineering & Technology

Level 7 Postgraduate Diploma (PgD)

Data Science & Analytics | Business Intelligence & Analytics

Build the Future with Data-Driven Intelligence

A luxury digital prospectus experience designed for ambitious professionals seeking Master's-level capability in analytics, machine learning, BI strategy and applied data leadership.

0 Credits
0 Guided Learning Hours
0 Total Qualification Time
Premium Academic Prospectus RQF Level 7
Python Power BI Tableau MySQL Machine Learning
01 Top-up progression routes
02 Executive-level BI and analytics delivery
03 Capstone + viva + portfolio-based assessment

Programme Overview

Two high-value postgraduate pathways, one premium data capability framework

PgD in Data Science & Analytics

Integrates data handling, Python programming, machine learning, and database management to build intelligent data-driven systems.

Aim & Purpose: Develop technical expertise in predictive modelling and system development using Python for real-world problem solving.

Demand Signal: Python, machine learning and AI appear in over 50% of data science job postings.

PgD in Business Intelligence & Analytics

Focuses on transforming data into actionable insights using visualisation and BI tools for organisational decision-making.

Aim & Purpose: Equip learners to design BI solutions and dashboards that support strategic business performance.

Demand Signal: Excel, Tableau, Power BI and SQL appear in over 65–70% of data analyst roles.

Total Qualification Time1,200 Hours
Guided Learning Hours400 Hours
Credit Value120 Credits
Duration6–8 Months
DeliveryBlended / Face-to-face / Online

Qualification Details

Structured for academic progression and market relevance

01

Foundation & Data Visualisation

02

Python & Algorithms

03

Machine Learning

04

Database Management

05

Capstone & Viva

LevelRQF Level 7
Academic PositioningMaster's level curriculum
ProgressionMSc / MBA Top-up routes
Professional MappingBCS and IoA aligned

Why This Programme

Designed around the advanced technical-commercial skills gap

National Need

The UK Government’s National Data Strategy highlights a shortage of senior-level data scientists and business analysts.

Commercial Relevance

The programme bridges complex algorithmic data science and C-suite business strategy for digital transformation leadership.

Advanced Skills Deficit

It targets the deficit in Python programming, machine learning, enterprise database management and analytical communication.

Indicative UK demand profile

Programme-aligned skill demand signals from the qualification document.

Python / ML / AI
50%+
Power BI / Tableau / SQL
65–70%
Hybrid BI + Data Roles
35% YoY growth

Modules

Five mandatory units with expandable master’s-level detail

Learning Experience

Built for interactive, applied and executive-facing delivery

20%Lectures for high-level theory
50%Computer-lab workshops for practical execution
20%Case studies and seminars for critical analysis
10%Simulations presenting insights to executive stakeholders

Blended Learning Model

A robust VLE hosts asynchronous tutorials, e-books, code repositories and multimedia lectures, while live sessions focus on application, analysis and evaluation.

Independent Study Expectations

Two hours of self-directed study are expected for every hour of guided learning, including coding practice, dataset exploration and academic reading.

Industry Engagement

Guest masterclasses and ideally live anonymised data briefs strengthen workplace readiness and capstone relevance.

Entry Requirements

Inclusive admissions with academic and professional routes

Academic Route

An Honours degree (minimum 2:2) in a related discipline from a recognised UK university or equivalent international institution.

Professional Route

Mature learners aged 25+ without a formal degree may be admitted with at least 5 years of significant relevant managerial or technical experience, subject to interview and portfolio review.

English Language

IELTS 5.5 overall with no component below 5.0, or equivalent such as PTE Academic 58.

Recognition of Prior Learning (RPL)

Learners may apply for exemption from specific units with current and verifiable Level 7 evidence through certificated or substantial experiential learning.

Career Outcomes

From analyst to senior strategic data leadership

Post-graduation starting £35,000 – £45,000
Experienced / senior roles £60,000 – £85,000+
Senior Data Analyst
Data Scientist
Machine Learning Engineer
BI Developer
Analytics Manager
Lead Data Scientist
Chief Data Officer

Progression Pathways

A fast route to higher-level study and certification alignment

1

Complete 120 UK Master's credits through the PgD.

2

Progress to the final dissertation stage of an MSc or MBA top-up pathway.

3

Enhance employability with Power BI, Tableau and MySQL certification pathways.

Higher-level study progression

MSc Data Science and AI (Top-up / Dissertation stage)

MBA in Business Intelligence and Analytics (Top-up / Dissertation stage)

Professional certification alignment

Microsoft Certified: Power BI Data Analyst Associate

Tableau Desktop Specialist

Oracle Certified Professional, MySQL Database Administrator

Teaching & Assessment

Authentic deliverables, portfolio evidence and viva-led evaluation

Assessment Model

There are no traditional closed-book written exams. Summative assessment mirrors workplace deliverables through portfolios, technical reports, coding assignments, dashboards, database scripts, project reports and viva voce.

Formative vs Summative

Formative assessment includes weekly coding challenges, peer-reviewed dashboards and ungraded quizzes. Summative assessment tests synthesis and critical application.

Grading Bands

Fail 0–49%, Pass 50–59%, Merit 60–69%, Distinction 70%+ with emphasis on autonomy, originality, technical execution and reporting quality.

Academic Integrity

Use of libraries is expected, but unadapted auto-generated code without critical contextualisation is considered academic misconduct. Written reports are subject to Turnitin analysis.

Quality Assurance

Internal verification includes brief review, sampling and standardisation meetings, supported by evidence portfolios for external quality assurance visits.

Tools & Technologies

Modern analytics stack for full-stack data professionals

Python 3.x
Anaconda
Jupyter Notebooks
Spyder
Tkinter
Microsoft Excel 365
Power BI Desktop
Tableau Desktop
MySQL Workbench
MySQL Community Server
Moodle / Canvas / Blackboard
GitHub / GitLab integrations

Capstone Project Showcase

An end-to-end research and development experience

Research question & literature
ETL & MySQL setup
EDA & data cleaning
Model training & evaluation
Dashboard development
5,000-word report + Viva

What learners submit

  • Structured project proposal and ethics-aligned methodology
  • Database schemas and ETL processes
  • Python code and machine learning outputs
  • Professional Tableau / Power BI dashboards
  • Rigorous academic-commercial report
  • 20-minute viva voce defence

Interactive Flipbook

Browse the full qualification content page by page

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Call to Action

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Secure a Master's-level qualification with strong progression routes, applied projects and premium digital delivery. Enquire now and begin your next academic and professional chapter.

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