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Data Science Postgraduate Diploma - Enrolling Now for September 2022

120 UK Credits | 6 - 9 Months | Fast track to MSc degree | Live online classes | One-to-one mentors |

Data Science Institute


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£1,995 inc VAT (was £2,680)
Offer ends 31 August 2022
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Study method
Online with live classes
6 months, Part-time/Full-time
Level 7 Diploma
Regulated qualification What's this?
Additional info
  • Exam(s) / assessment(s) is included in price
  • Tutor is available to students

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Register for the Postgraduate Diploma in Data Science through The Data Science Institute. This a postgraduate level credit rated qualification carrying 120 credits on the UK qualifications framework.

This diploma programme is divided down into 10 modules delivered via our online platform including scheduled live class groups, practice assignments based on real world examples.

Assessment: Assessment by technical exams and projects based on real world scenarios. You choose the projects under the guidance of your course mentors and draw on the full range of skills and knowledge gained on the programme. Through your project portfolio you will be able showcase your job readiness to employers.

Duration: 6 months to complete depending on either full time or part time basis. You will need to devote your time to studying the course content in depth, attend online group sessions, work with your mentors, carry out tasks and project work and take exams during the course.

Programme includes:

  • Live online group sessions
  • Industry experts
  • One-to-one mentoring,
  • Project support
  • Mobile ready Learning platform
  • 100+ video lessons
  • Detailed lecture slides
  • Case studies
  • Practical activites
  • Quizzes


Level 7 Diploma

Awarded by Qualifi Ltd
Regulated by Ofqual


Developed at a masters degree level, the Data Science Institute's online data science course enables you to gain skills in maths, statistics and programming in R, Python and SQL to organise, analyse and visualise data to uncover hidden solutions that challenge traditional business assumptions and produce entirely new operating and strategic models. The projects you do as part of the course will allow you to apply Data Science to a specialist field, including Fintech, the Pharmaceutical industry, IoT, Economics or Marketing.


Exploratory Data Analysis

Programming in Python, R and SQL

Data management

Measures of central tendency and variation

Bivariate relationships

Data visualisation

Statistical Inference

Principles of statistical inference

Parametric tests

Non-parametric tests

Analysis of variance (ANOVA)

Fundamentals of Predictive Modelling

Predictive modelling principles

LInear regression models

Model validation

Python and R packages for predictive modelling

Advanced Predictive Modelling

Logistic regression


Survival analysis

Cox regression

Poisson regression

Time Series Analysis

Time Series concepts

Assessing stationarity

ARIMA, ARCH, GARCH modelling

Panel data regresssion

Unsupervised Multivariate Methods

Principal Component Analysis

Factor Analysis

Multidimensional Scaling

Cluster Analysis

Machine Learning 1

Naive bayes

Support Vector Machines

K nearest neighbours

Machine Learning 2

Decision Tree

Random Forest

Association Rules

Neural Networks

Text Mining and Natural Language processing

Structured and unstructured data

Text mining in R and Python

Natural language processing

Data Science in Practice

Presentation and communication skills

Synthesis of data science knowledge

Application to real world data and scenarios

Who is this course for?

This course is for both experienced data professionals and graduates from other disciplines looking to develop a a career in data science, AI and analytics.


An undergraduate degree or equivalent in any discipline.

Other professional qualifications at level 6 in a numerate discipline such as accounting, finance, IT, computing.

Candidates without a degree but with at least three years relevant experience may also apply

Career path

Graduates of this programme will find opportunities in data science, data analytics, business analysis and statistics. Sectors include banking and finance, insurance, pharmaceuticals, consulting and education


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What does study method mean?

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

What are CPD hours/points?

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

What is a ‘regulated qualification’?

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

What is an ‘endorsed’ course?

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body’s logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.