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OTHM Level 7 Diploma in Data Science

The OTHM Level 7 Diploma in Data Science is a postgraduate-level qualification designed to develop advanced knowledge and practical skills in data analysis, statistical methods, predictive modelling, machine learning and artificial intellig

Course overview

The OTHM Level 7 Diploma in Data Science is a postgraduate-level qualification designed to develop advanced knowledge and practical skills in data analysis, statistical methods, predictive modelling, machine learning and artificial intelligence.

The programme focuses on extracting meaningful insights from complex datasets and using evidence to support business decisions, identify opportunities and solve organisational problems.

Learners explore the foundations of data science, probability and statistics, predictive analytics, data visualisation, data mining, machine learning, artificial intelligence and advanced computing research methods.

Learning outcomes

Demonstrate advanced understanding of data science concepts and applications. Evaluate data quality, data sources and governance requirements. Apply probability and statistical methods to data analysis. Select and evaluate predictive modelling and forecasting techniques. Prepare, analyse and visualise complex datasets. Apply appropriate data mining, machine learning and artificial intelligence techniques. Interpret analytical results and communicate data-driven insights. Evaluate model performance and recognise limitations or potential bias. Consider ethical, privacy and responsible-data requirements. Formulate research questions and select appropriate research methods. Analyse evidence and present defensible research conclusions. Communicate findings and recommendations to technical and business audiences. Identify opportunities for further postgraduate study and professional development.

Entry requirements

Applicants should hold an honours degree in a related subject, a UK Level 6 Diploma or an equivalent overseas qualification. Applicants must be at least 21 years old at the beginning of the course. Mature applicants with relevant management experience may be considered by the delivery centre. Applicants must provide evidence of English-language competency where required by OTHM. A background in computing, IT, mathematics, statistics or a related subject is recommended. Basic programming and quantitative reasoning skills are beneficial for advanced data science study. Learners should be prepared for independent research, analytical assignments and academic report writing. Admission is subject to verification of qualifications, experience and the current OTHM entry requirements.

Course structure

Topics listed in the institute’s published curriculum:

  • Data Science Foundations
  • Probability and Statistics for Data Analysis
  • Advanced Predictive Modelling
  • Data Analysis and Visualisation
  • Data Mining, Machine Learning and Artificial Intelligence
  • Advanced Computing Research Methods

Assessment method

Request the current assessment specification for this programme. Assessment arrangements should be confirmed for your chosen qualification before enrolment.

Study format and duration

Confirm the delivery method, attendance requirements, start dates and expected completion period with admissions. The published duration requires clarification; ask admissions to confirm the expected completion period.

Tuition fees and payments

The published tuition fee is £2,200. Request written confirmation of the current total cost, any awarding-body or registration charges and payment arrangements before enrolling.

Read the fees and refund information.

Progression

Discuss your intended next qualification or professional goal with admissions. Any progression depends on the requirements of the receiving institution or programme and is not guaranteed by this prototype.

Questions about this course

Is this course right for my background?

Ask admissions to review your previous study and work experience against the current course requirements.

Can I confirm the fee and delivery schedule?

Yes—contact the institute for written confirmation of the fee, delivery format, duration and available start dates.

Does this form submit an application?

No. Enquiry links lead to a local contact form that demonstrates frontend validation only.

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