The Postgraduate Certificate in Data Science is a 30 ECTS foundation programme designed for professionals and graduates seeking to build core competencies in data-driven decision-making. It covers programming, exploratory data analysis, statistical inference, and includes a focused analytics project.
Through interactive workshops, real-world case studies, and hands-on exercises, participants learn to interpret and communicate insights from diverse datasets—developing practical skills applicable across industries. The certificate also offers a direct pathway to the Postgraduate Diploma or MSc in Data Science.
Programming in Python, R and SQL
Data management
Measures of central tendency and variation
Data visualisation
MODULE 2: (6 ECTS CREDITS)
Statistical Inference
Statistical inference is the process of drawing inferences or conclusions from data using statistical techniques. This is at the core of data science, and a strong understanding of statistics from the beginning is the prime ingredient for a competent data scientist. In this module, you will cover sampling, statistical distribution, hypothesis testing, and variance analysis and use R code to carry out various statistical tests and draw inferences from their output.
Principles of statistical inference
Parametric tests
Non-parametric tests
Analysis of variance (ANOVA)
Predictive modelling principles
Linear regression models
Model validation
Python and R packages for predictive modelling
MODULE 4: (6 ECTS CREDITS)
Advanced Predictive Modelling
In this module, you are introduced to model development for categorical dependent variables. Binary dependent variables are encountered in many domains such as risk management, marketing, and clinical research, and this module covers detailed model building processes. Multinomial and ordinal logistic regression are also covered.
Logistic regression models
Survival analysis
Cox regression
Poisson regression
MODULE 5: (6 ECTS CREDITS)
Data Science in Practice
The Data Science in Practice module provides you with an opportunity to apply your knowledge through project work. You will select a project from a specific domain and appropriately apply exploratory data analysis, statistical methods and select appropriate predictive modelling techniques. This module also develops your scientific communication skills through the preparation of project reports and presentations.
Presentation and communication skills
Synthesis of data science knowledge
Application to real-world data and scenarios
Flexible Schedules and Engaging Learning
Flexibility and comprehensive support
Structured schedules
interactive, hands-on learning experiences
Flexible Schedules
Balance live, instructor-led sessions with self-paced content for an adaptable learning experience.
One-to-One Tutorials
Receive individualized guidance to address specific learning objectives or areas of interest.
Project Work
Collaborate on authentic case studies, enhancing teamwork, problem-solving skills, and applied knowledge.
Take part in live Concept Classes to develop advanced skills and strengthen your understanding through practical coding and modeling exercises based on real-world scenarios.
Stay connected with peers and instructors through real-time updates, feedback, and collaborative tools.
Comprehensive Learning Platform
Access recorded live sessions, structured course materials, and supplementary resources at any time.
Our Accreditation
The Data Science Institute is an accredited member of Woolf University, a recognized higher education institution in the European Union. All diploma and degree programs adhere to rigorous European Standards and Guidelines, ensuring international academic excellence and credibility.
ECTS – The Benchmark of Excellence
Our curricula are accredited through the European Credit Transfer and Accumulation System (ECTS), a recognized international standard and the world’s largest academic accreditation system. ECTS certification ensures widespread acceptance, facilitating both mobility and career development.
Why It Matters
Qualifications are internationally portable
Recognized by employers, institutions, and government agencies
Opens pathways for further academic progression and supports career development
