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British Awards For Training and Higher Education
15
Jan
2024

BATHE LEVEL 7 DIPLOMA IN DATA SCIENCE

Specifications

Qualification Overview

With the emergence of cloud computing, big data and artificial intelligence, data science has become a key fourth generation profession. The Level 7 Postgraduate Diploma in Data Science has been developed 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.

Units
  • Exploratory Data Analysis
  • Statistical Inference
  • Fundamentals of Predictive Modelling Advanced Predictive Modelling
  • Time Series Analysis
  • Unsupervised Multivariate Methods Machine Learning
Learning Outcomes
  1. Gain the mathematical and statistical knowledge and understanding required to carry out basic and advanced data analysis.
  2. Develop sufficient skill in the R, Python and SQL programming languages to use them to successfully carry out data analysis to an advanced level.
  3. Develop a strong understanding of data management, including evaluation, structuring and cleaning of data for analysis.
  4. Become familiar with and use the tools and techniques used in data visualisation
  5. Develop a comprehensive knowledge of classical data analytics, including statistical inference,
    predictive modelling, time series analysis and data reduction.
  6. Become familiar with and apply common machine learning techniques to business and other problems
    in order to uncover options and solutions for them.
  7. Develop an understanding of essential concepts from contemporary themes in business.
  8. Understand, evaluate and apply data science and analytics within business and organisational contexts.
Entry Requirements
  • A minimum of a Level 6 qualification in a related sector or;
  • Bachelors degree or;
  • A minimum of 3 years’ work experience which demonstrates current and relevant industry knowledge.

Specifications

Qualification title:

BATHE Level 7 Diploma in Data Science

Qualification type:

Vocational Related Qualification (Higher Education)

Level:

7

Accreditation status:

Accredited

Credit Equivalency:

120

Progression routes:

BATHE Level 7 and/or 8 Diploma, directly into employment in an associated profession, or an appropriate dissertation-only for a Master’s Degree at one of our University partnerships.

Availability:

UK and international

Modes of Delivery:

Full Time/ Part Time

Study Mode:

On Campus/ Distance learning/ Blended learning

Course Overview

With the emergence of cloud computing, big data and artificial intelligence, data science has become a key fourth generation profession. The Level 7 Postgraduate Diploma in Data Science has been developed 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.

Units

  • Exploratory Data Analysis
  • Statistical Inference
  • Fundamentals of Predictive Modelling Advanced Predictive Modelling
  • Time Series Analysis
  • Unsupervised Multivariate Methods Machine Learning

Entry requirements

  • A minimum of a Level 6 qualification in a related sector or;
  • Bachelors degree or;
  • A minimum of 3 years’ work experience which demonstrates current and relevant industry knowledge.

English requirements: If a learner is not from a majority English-speaking country must provide evidence of English language competency.

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.

Duration and delivery

The qualification is designed to be delivered over one academic year for full-time study, but it is also flexible in its delivery in order to accommodate part-time and distance learning.

The qualification is delivered face-to-face, through lectures, tutorials, seminars, distance, online by approved centres only.

Assessment and verification

All units within this qualification are internally assessed by the centre and externally verified by BATHE. 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.

The Assessor should provide an audit trail showing how the judgement of the learners’ overall achievement has been arrived at.