Level 4 SBIS
140 credits / 1400 TQT / 560 GLH. Core computing, databases, Python programming, business processes and cloud computing.
BCET × ISM Education UK
An integrated progression pathway with Level 4 & Level 5 Advanced Diploma qualifications in Strategic Business Information Systems (SBIS), preparing learners for advanced BI, data science, cloud analytics and strategic data leadership.
Integrated qualification pathway
The programme highlights the Level 4 and Level 5 Advanced Diploma in Strategic Business Information Systems (SBIS) as the foundation and progression route into the Level 6 Advanced Graduate Diploma in Strategic Business Intelligence and Data Analytics.
140 credits / 1400 TQT / 560 GLH. Core computing, databases, Python programming, business processes and cloud computing.
130 credits / 1300 TQT / 520 GLH. Web technologies, information management, data visualisation, e-commerce and AI/data science.
120 UK credits / 1200 TQT / 480 GLH. Advanced BI, predictive analytics, big data strategy and applied capstone dissertation.
Prepared for MSc Data Analytics, MSc AI, MSc Business Intelligence and senior analytical or consultancy pathways.
Highlighted foundation pathway
These modules build the technical, analytical and business foundation for the Level 6 Advanced Graduate Diploma.
Level 4 / Year 1
| No. | Unit title | Credits | Assessment (Assignment & Presentation) |
|---|---|---|---|
| 1 | Database Management Systems (Inc. Lab) | 30 | Case Study & SQL Portfolio |
| 2 | Programming Skills by Python (Inc. Lab) | 30 | Software Development Project |
| 3 | Introduction to Computers & Applications | 30 | Technical Report |
| 4 | Introduction to Business Processes | 20 | Business Process Map & Report |
| 5 | Enterprise System and Cloud Computing | 30 | Cloud Architecture Proposal |
Level 5 / Year 2
Units 6, 8, 9, 10 and 12 are highlighted as the priority SBIS progression units.
| No. | Unit title | Credits | Assessment (Assignment & Presentation) |
|---|---|---|---|
| 6 | Web Technologies (Front/Back End) | 30 | Full-stack Web Application |
| 7 | Professional IT Project Management | 30 | Project Management Plan (Agile) |
| 8 | Information Management and E-Business | 30 | Strategic Digital Audit |
| 9 | Data Analysis & Visualisation | 20 | Tableau/PowerBI Dashboard |
| 10 | E-Commerce | 20 | E-Commerce Strategy Report |
| 11 | Information Driven Entrepreneurship | 30 | Lean Startup Business Plan |
| 12 | Intro to AI and Data Science | 30 | Predictive Model & Research Paper |
| 13 | Artificial Intelligence Applications | 30 | AI Implementation Case Study |
Programme highlights
The Level 6 curriculum develops analytical leaders who translate complex datasets into strategic, board-level business decisions.
Decision Support Systems, OLAP, Power BI, Tableau, executive dashboards and storytelling with data.
Python, feature engineering, regression, classification, time-series forecasting and explainable AI.
Cloud-native analytics architecture, AWS/Azure ecosystems, Spark, MLOps, DataOps and governance.
Independent dissertation or industry-led analytics project with viva, strategy and professional artefacts.
Level 6 module structure
| No. | Unit title | Credits | Assessment |
|---|---|---|---|
| 14 | Advanced Business Intelligence & Decision Support Systems | 30 | BI Dashboard & Executive Briefing |
| 15 | Machine Learning & Predictive Analytics in Business | 30 | Predictive Analytics Model & Report |
| 16 | Big Data Technologies & Enterprise Data Strategy | 30 | Cloud Analytics Consultancy Report |
| 17 | Applied Analytics Capstone Project (Dissertation) | 30 | Independent Research Dissertation |
Course modules accordion
6-week delivery: Decision intelligence, data warehousing, OLAP, Power BI/Tableau advanced features, ETL automation, executive dashboard design, embedded analytics, BI security and final strategy presentation.
6-week delivery: Advanced Python, Pandas/NumPy, feature engineering, forecasting, classification, clustering, model validation, deep learning contexts, deployment, explainable AI and bias mitigation.
6-week delivery: Big Data landscape, NoSQL, Apache Spark, AWS/Azure analytics, serverless data architecture, governance, master data management, privacy, cybersecurity, MLOps and DataOps.
6-week delivery: Research scoping, literature review, methodology, real-world datasets, ethics approval, data wrangling, modelling, validation, dissertation writing and viva preparation.
Career outcomes
Indicative UK salary ranges vary by employer, region and experience.
£31,750–£54,500
£46,500–£67,000
£35,000–£55,000+
£32,000–£82,500
£55,000–£95,000+
£50,000–£85,000+
Progression routes
Graduates are primed for Master’s level study such as MSc Data Analytics, MSc Artificial Intelligence and MSc Business Intelligence, or immediate movement towards senior analytical and consultancy roles.
Data Analytics • Artificial Intelligence • Business Intelligence • Data Science • Digital Transformation
BI Lead • Analytics Consultant • Data Strategy Consultant • Decision Intelligence Specialist
Testimonials
“The programme connects BI, cloud and machine learning with board-level business decisions — exactly what employers now expect.”
Aisha R.BI Analyst pathway learnerEnquiry form
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