Post Graduate Level 7 Diploma in Data Science
Course Overview
Data scientists are required in every sector. Your path to an accreditted UK MSc degree begins here. Save time and money by doing the first 120 credits of your Master Science Degree at CAPTECH and complete the other 60 credits at the University of Portsmouth UK. This Qualifi Level 7 Post Graduate Diploma in Data Science has been designed in collaboration with industry experts, to prepare you for these ever-increasing employment and business opportunities
With the emergence of cloud computing, big data and artificial intelligence, data science has become a key fourth generation profession. Data scientists are required in every sector. The Qualifi Level 7 Postgraduate Diploma in Data Science has been designed in collaboration with industry experts, to prepare aspiring Data Scientists, Data Analysts and Artificial Intelligence specialists to take advantage of the growing business and employment opportunities in these fields.
The Diploma is designed to enable learners to gain skills in maths, statistics and programming in R, Python and SQL. The Diploma also provides a sound basis for a progression to Masters Degrees in a number of relevant disciplines.
The Qualifi Level 7 Diploma in Data Science qualification also provides learners with the opportunity to work toward a relevant master’s programme with advanced standing.
Data Science is one of the fastest growing disciplines of the 21st century
Step up to the final stages of an MSc degree in Applied Sciences at the University of Portsmouth UK.The Qualifi Level 7 Diploma in Data Science has been designed in collaboration with industry experts to prepare you for ever-increasing employment and business opportunities.
Units
- Exploratory Data Analysis (8 Credits)
- Statistical Inference (12 Credits)
- Fundamentals of Predictive Modelling (15 Credits)
- Advanced Predictive Modelling (15 Credits)
- Time Series Analysis (15 Credits)
- Unsupervised Multivariate Methods (15 Credits)
- Machine Learning (15 Credits)
- Further Topics in Data Science (15 Credits)
- Contemporary Themes in Business Strategy (10 Credits)
Learning Outcomes
- Gain the mathematical and statistical knowledge and understanding required to carry out basic and advanced data analysis.
- Develop sufficient skill in the R, Python and SQL programming languages to use them to successfully carry out data analysis to an advanced level.
- Develop a strong understanding of data management, including evaluation, structuring and cleaning of data for analysis.
- Become familiar with and use the tools and techniques used in data visualisation
- Develop a comprehensive knowledge of classical data analytics, including statistical inference,
predictive modelling, time series analysis and data reduction.
- Become familiar with and apply common machine learning techniques to business and other problems
in order to uncover options and solutions for them.
- Develop an understanding of essential concepts from contemporary themes in business.
- Understand, evaluate and apply data science and analytics within business and organisational contexts.
Entry requirements
For entry onto the QUALIFI Level 7 Diploma in Data Science qualification, learners must possess:
- A Bachelor’s Degree in related subject or UK level 6 diploma or an equivalent overseas qualification
- A minimum of 3 years’ work experience which demonstrates current and relevant industry knowledge.
Equivalences
The QUALIFI Level 7 diplomas on the Regulated Qualifications Framework (RQF) are at the same level as master’s degrees. However, they are shorter (120 credits) and learners may wish to proceed to the dissertation stage (60 credits) with university to achieve a full masters programme.
Delivery:
The qualification is delivered via Instructor-Led live presentations and tutorials to guide your online distance learning.
Assessment and verification
All units within this qualification are internally assessed by assessors and verifiers at the Caribbean Polytechnic Institute and externally verified by QUALIFI. The qualifications are criterion referenced, based on the achievement of all the specified learning outcomes.
To achieve a ‘pass’ for a unit, learners must provide evidence to demonstrate that they have fulfilled all the learning outcomes and meet the standards specified by all assessment criteria. Judgement that the learners have successfully fulfilled the assessment criteria is made by the Assessor.
Target Group
- Holders of a Bachelor's degree or equivalent qualification
- Individuals working or aspiring to work in Data Science
Progression
Complete your Level 7 Diploma in Data Science and step directly into the Final Stage (60 Credits) of a UK Master’s degree.
Progress to any of the following partner programmes:
- MSc Applied Computing (top-up) final stage at University of Portsmouth (Learning at Work)
- MSc Applied Science (top-up) final stage at University of Portsmouth (Learning at Work)
To view detailed information about these MSc Degrees from the University of Portsmouth CLICK HERE.
Why StudyData Science?
- Demand
- High Salary
- Job Security
- Flexibility
Job Opportunities
- Data Scientist
- Data Analyst
- Data Engineer
- Data Architect
- Business Analyst
- Software Engineer
- Machine Learning Engineer
Top Industries
- Healthcare
- Financial Industry
- Manufacturing
- Logistics
- Retail Industry
- Telecommunications
- Automotive Industry
Intake Dates:Jan 18, 2025/Oct 4, 2025
Tuition: $280,000.00 (Does not include assessment fee)
Registration fee: J$2,500.00
Registration Form:
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