Level 7 Postgraduate Diploma in Data Science (PGDDS)
Total 120 credits. Delivery Language - English.
Equivalent to Year 1 of a University Master's degree. You can top up another 60 credits to get a Master's degree.
Equivalent to Year 1 of a University Master's degree. You can top up another 60 credits to get a Master's degree.
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The Level 7 Postgraduate Diploma in Data Science is an advanced program designed to equip students with comprehensive skills and knowledge in data analysis, interpretation, and manipulation. This diploma typically covers a wide range of topics, including statistical analysis, machine learning, data visualization, and big data technologies. Students learn to apply various programming languages and tools like Python, R, SQL, and data mining techniques to extract valuable insights from complex datasets. The program often emphasizes real-world applications and practical projects, preparing graduates for roles in data-driven industries such as finance, healthcare, marketing, and technology.
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Completing this diploma signifies a high level of proficiency in data science and can open doors to rewarding career opportunities in the field.
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Admission Criteria
Learners will need to be over the age of 19, and must demonstrate one of the following:
Bachelor Degree (or equivalent)
OR
Level 6 qualification (or equivalent overseas qualification)
OR
Mature applicant with A level (or equivalent) and work experience
AND
English requirements:
If the learner is not from a majority English-speaking country, they must provide evidence of English language competency at a minimum of CEFR (The Common European Framework of Reference for Languages) level C1 from a recognised English test provider or IELTS level 7.0-8.0 in each components.
Bachelor Degree (or equivalent)
OR
Level 6 qualification (or equivalent overseas qualification)
OR
Mature applicant with A level (or equivalent) and work experience
AND
English requirements:
If the learner is not from a majority English-speaking country, they must provide evidence of English language competency at a minimum of CEFR (The Common European Framework of Reference for Languages) level C1 from a recognised English test provider or IELTS level 7.0-8.0 in each components.
What modules are covered
This course focuses on following modules to be delivered generally over 1 academic year.
Mandatory Modules:
Module 1: Advanced Data Analytics (20 credits)
Module 2: Machine Learning and Deep Learning (20 credits)
Module 3: Big Data and Cloud Computing (20 credits)
Module 4: Natural Language Processing and Text Mining (20 credits)
Module 5: Advanced Data Visualization and Interpretation (20 credits)
Module 6: Data Ethics and Governance (10 credits)
Module 7: Capstone Project (30 credits)
Module 1: Advanced Data Analytics (20 credits)
Module 2: Machine Learning and Deep Learning (20 credits)
Module 3: Big Data and Cloud Computing (20 credits)
Module 4: Natural Language Processing and Text Mining (20 credits)
Module 5: Advanced Data Visualization and Interpretation (20 credits)
Module 6: Data Ethics and Governance (10 credits)
Module 7: Capstone Project (30 credits)
How it is delivered
The programme will typically be delivered as a 1 year full time study or a total of 42 weeks (including assignment submission weeks). An academic year is divided into six learning blocks with 7 weeks duration each. There will be three (3) contact days per week or a total of twenty one (21) contact hours per week; and thirteen (13) hours of self‐directed learning per week.
How it is assessed
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All units will be internally assessed by the delivering institute. Learner will need to show that they meet each of the assessment criteria detailed within each unit, to the required standard for the level of the unit.
Certificates are awarded a Pass, Merit or Distinction grade following assessment of the candidate’s portfolio of work. A assessor will examine the evidence and make a decision which is checked by the internal followed by the external verifier and passed for certification. The achievement rates for this qualification are outstanding. Grading System:
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Contributes to Following Certification
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