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AI / Data Analytics / Data Science - Programme Summary

Please note: There is coursework/project for each unit. The final coursework mark is the average of the combined coursework, hence if the average is below the pass mark, candidates will have to re-sit all coursework for that particular course. Coursework is to be submitted in electronic form – on Flash disk etc.

AI-Data Analytics-Data Science Programme Analysis | AI-Data Analytics-Data Science career options


Level 4 Certificate in Statistics for Data Science (949) 156 Credits

  • Paper 1 Introduction to Statistics
  • Paper 2 Descriptive vs Inferential Statistics
  • Paper 3 Measures of Position
  • Paper 4 Measures of Central Tendency
  • Paper 5 Measures of Variation
  • Paper 6 Project (all coursework combined)
Total written exam papers: 5            Total number of coursework: 5

Certificate in Statistics for Data Science Syllabus including recommeded learning hours, unit course description, framework level, assessment method and learning resources.

Download Statistics for Data Science Syllabus
Introduction to Statistics | Descriptive vs Inferential Statistics | Measures of Position | Measures of Central Tendency | Measures of Variation


Level 5 Diploma in Data Analytics (950) 177 Credits

  • Paper 1 Introduction to Cloud Computing
  • Paper 2 Analysing Data with Excel
  • Paper 3 Introduction to Data Science
  • Paper 4 Analysing and Visualising Data with Power BI
  • Paper 5 Introduction to SQL
  • Paper 6 Project (all coursework combined)
Total written exam papers: 5            Total number of coursework: 5

Diploma in Data Analytics Syllabus including recommeded learning hours, unit course description, framework level, assessment method and learning resources.

Download Data Analytics Syllabus
Introduction to Cloud Computing | Analysing Data with Excel | Introduction to Data Science | Analysing and Visualising Data with Power BI | Introduction to SQL


Level 5 Diploma in Data Science Statistical Methods using Excel (951) 177 Credits

  • Paper 1 Descriptive Statistics
  • Paper 2 Introduction to Probability
  • Paper 3 Probability Distribution
  • Paper 4 Sampling, Hypothesis Testing and Analysis of Variance
  • Paper 5 Introduction to Correlation Analysis
  • Paper 6 Project (all coursework combined)
Total written exam papers: 5            Total number of coursework: 5

Diploma in Data Science Statistical Methods using Excel Syllabus including recommeded learning hours, unit course description, framework level, assessment method and learning resources.

Download Diploma in Data Science Statistical Methods using Excel Syllabus
Descriptive Statistics | Introduction to Probability | Probability Distribution | Sampling, Hypothesis Testing and Analysis of Variance | Introduction to Correlation Analysis


Level 6 Advanced Diploma in Artificial Intelligence (AI) and Data Science (952) 210 Credits

  • Paper 1 SQL for Data Analysis
  • Paper 2 Advanced Power BI & Data Modelling Techniques
  • Paper 3 R Data Analysis Fundamentals
  • Paper 4 Python Programming
  • Paper 5 Predictive Analytics with R
  • Paper 6 Exploratory Data Analysis with Python
  • Paper 7 Project (all coursework combined)
Total written exam papers: 6            Total number of coursework: 6

Advanced Diploma in DArtificial Intelligence (AI) and Data Science Syllabus including recommeded learning hours, unit course description, framework level, assessment method and learning resources.

Download Advanced Diploma in Artificial Intelligence (AI) and Data Science Syllabus
SQL for Data Analysis | Advanced Power BI & Data Modelling Techniques | R Data Analysis Fundamentals | Python Programming | Predictive Analytics with R | Exploratory Data Analysis with Python


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