OTHM
Level 7
QN: 610/2153/2
Curriculum Active
OTHM Level 7 Diploma in Data Science
Official qualification regulated by Ofqual, awarded by OTHM. Classified as a Vocationally-Related Qualification. Total guided learning hours: 480 hours.
Qualification Level
Level 7
Awarding Body
OTHM
Syllabus Units
6 Units
Guided Hours
480 hrs
Instant access to interactive lessons, quizzes, and spaced revision.
Course Syllabus & Study Modules
Complete breakdown of verified curriculum topics and learning objectives.
1
Advanced Computing Research Methods
Verified
Key Learning Objectives:
- Be able to evaluate research approaches in the computing discipline.
- Be able to critically review literature on a relevant research topic.3.
- Be able to design research methodologies for a computing research problem
- Be able to develop a research proposal.
2
Advanced Predictive Modelling
Verified
Key Learning Objectives:
- Understand a range of generalised linear models.2.
- Be able to implement regression methods for continuous, ordered and unordered data.3.
- Be able to develop survival analysis models.4.
- Be able to use neural networks for predictive modelling.
3
Data Analysis and Visualisation
Verified
Key Learning Objectives:
- Understand the foundational principles of data analytics.2.
- Be able to apply prescriptive analytics to inform decision making.3.
- Be able to visualise and present data in an audience-appropriate way.
4
Data Mining, Machine Learning and Artificial Intelligence
Verified
Key Learning Objectives:
- Understand the meaning of Artificial Intelligence and its role in data science.2.
- Be able to use machine learning methods to address real world problems.3.
- Understand technical, ethical, social and legal considerations for AI.
5
Data Science Foundations
Verified
Key Learning Objectives:
- Understand the scope of data science and the roles of data scientists.2.
- Understand the impact of big data on society.3.
- Understand the legal and ethical responsibilities of data scientists and the challenges they face.
6
Probability and statistics for data analysis
Verified
Key Learning Objectives:
- Understand the fundamentals of probability and statistics.2.
- Be able to use statistics to test hypotheses on datasets.3.
- Understand Bayesian statistics.4.
- Be able to perform linear statistical modelling.
Regulatory & Verification Details
- Qualification Number (QN)
- 610/2153/2
- Regulated Status
- Available to learners
- Awarding Body
- OTHM
- Qualification Type
- Vocationally-Related Qualification
- Operational Start
- Feb 2023
- Operational End
- Dec 2033