Institute for Analytics and Data Science

Our courses

Lecturer at an executive education course

Training the next generation

Essex has a long history of passing on our ground-breaking research methods by training the next generation of data scientists. We're committed to excellence in research and excellence in education. For us, the two are inextricably linked.

Data science transcends disciplines and data scientists contribute to a diverse range of sectors. We ensure our education and training programmes reflect this. From undergraduate to PhD, our programmes aim to address the global skills shortage.

Undergraduate courses

BSc Data Science and Analytics

Harvard Business Review recently described the job of data scientist as “the sexiest job of the 21st century”. Data science is about doing some detective work and carrying out the investigations needed to inform important decisions and to predict new trends. Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase.

At Essex, we help you to understand how utilising the speed and processing-power of computers can assist in using data to make better decisions. You discover the new methods and the smart, unusual questions needed to make sense of both numerical and textual data.

Masters courses

Our Masters courses offer you the opportunity to obtain advanced knowledge and skills in analytics and data science from different perspectives.

MSc Big Data and Text Analytics

Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries and medical records. Much of this data contains valuable information, such as emerging opinions in social networks, search trends from search engines, consumer purchase behaviour, and patterns that emerge from these huge data sources.

MSc Data Science

If you are interested in solving real-world problems, you like to develop skills to use smart devices efficiently, you want to use and to foster your understanding of mathematics, and you are interested and keen to use statistical techniques and methods to interpret data, the Essex MSc Data Science is for you.

MSc Business Analytics

Our MSc Business Analytics develops your analytical skills so you can solve complex business problems. You’re trained to organise, integrate and interpret data so you can make insightful forecasts into all aspects of business operation and implement appropriate actions.

MSc Finance and Data Analytics

The finance industry needs students who can understand statistical modelling in the context of the growing, and increasingly complex, data available to financial firms. Our MSc Finance and Data Analytics prepares you to work in the financial services organisations of the future, by equipping you with the quantitative, statistical and technical skills needed in a world powered by big data.

Doctoral research

Our expertise attracts major funding from UK research councils to deliver ground-breaking doctoral training programmes in a range of areas including:

  • exploring the most challenging social science issues of the 21st century
  • investigating the interplay between a person's biology, experiences and behaviour
  • artificial intelligence, machine learning, bioinformatics and genomic analysis of big data

To find out more about our PhD options, you can search our PhD course finder and look at our doctoral training programmes.

Executive Education programme

Leading with Data and AI

Dates and booking

Dates: 21 to 22 November 2018

Venue: The Office Group - The Bloomsbury Building, London

Book online.

If you wish to pay by invoice or have a promotional code, please email execed@essex.ac.uk to book your place.

 

Big Data, Data Science, Analytics, Artificial Intelligence and Machine Learning have been dominating the headlines in the last few years. But what does it all mean?

What are these technologies and how are they linked? What benefits can organisations and businesses derive from deploying such technologies and how can they go about and embed them to deliver tangible benefits? This course aims to demystify these concepts and highlight direct business benefits.

Navigating through the complex maze of these rapidly evolving technologies can be non-trivial for corporations of different size and market maturity. We look beyond the hype and focus on the real challenges and opportunities of practical applications of such technologies for businesses. Whether it is to gain efficiency in current business model or transform decision making and product or service delivery, there are many ways to utilise AI technologies.

Join this programme to develop understanding and knowledge of the fundamental principles of these technologies and draw on the insights from their uses and applications.

This programme is particularly relevant to those in technology, digital, innovation and research and development roles, such as:

  • Directors
  • Senior Executives
  • Managers
  • Entrepreneurs

Programme Aims

Benefits to you:
  • Learn the fundamental principles and concepts behind big data, data science and artificial intelligence.
  • Develop an understanding of the workings of artificial intelligence and machine learning algorithms .
  • Understand the applications and benefits of embedding advanced analytics and artificial intelligence techniques in organisations.
  • Gain sufficient insight to differentiate hype and myth of AI from real opportunity.
Benefits to your organisation
  • Recognise the challenges and opportunities of embedding new technologies in the context of your organisation.
  • Explore and understand where data science and artificial intelligence techniques can be utilised and have the most impact in your organisation .
  • Learn from case studies from a range of organisations on the use of data science and artificial intelligence .
How You Learn
  • Explore examples from different sectors to see how data science and artificial intelligence techniques can be applied in different settings.
  • Reflect on your organisation and identify opportunities for embedding data science and artificial intelligence techniques to gain a competitive advantage and improve your effectiveness and operations.
  • Put principles and concepts into practice through real examples from different industries.
  • Experiment and learn in a safe space, get outside your comfort zone with the support of tutors and develop your thinking and strategy to influence your stakeholders.
  • Devise a practical plan to explore the embedding of new technologies into your organisation.

 

Programme directors

Tazeeb RajwaniProfessor Tazeeb Rajwani

Tazeeb Rajwani is Professor of International Business and Strategy at Essex Business School and is the Executive Education Director.

He has held senior management positions at KPMG and was previously Executive MBA Director at Cranfield School of Management. Professor Rajwani has held visiting faculty positions across the globe, including the likes of University of Warwick, London Business School and HULT International Business School.

FASLI57304_Maria_Fasli_300x200 Professor Maria Fasli

Professor Maria Fasli is UNESCO Chair in Analytics and Data Science and Director of Institute for Analytics and Data Science, University of Essex.

Her research interests include: Data exploration, analysing and modelling complex data; Big data analysis and modelling of structured and unstructured data; Machine learning modelling opponents learning behaviours from data; Reasoning and analytics over multiple streams of data Internet of Things (IoT) reasoning and analytics; Market mechanisms negotiation protocols strategic interaction supply chain management; as well as interests in software engineering methodologies and social dynamics regulation.

MIKHA75806-Slava-Mikhaylov-300x200Professor Slava Mikhaylov

Professor Slava Mikhaylov is a Chief Scientific Adviser to Essex County Council, working on embedding data science and artificial intelligence in public service delivery.

He is a professor of public policy and data science at University of Essex, holding a joint appointment in School of Computer Science and Electronic Engineering Institute for Analytics and Data Science and Department of Government. He received a bachelors degree in Economics from Belarus State Economic University and a PhD in Political Science from Trinity College Dublin. He has previously worked at University College London and London School of Economics. His research and teaching is primarily in the field of machine learning and natural language processing.

Dr Spyros Samothrakis

Dr Spyros Samothrakis is Senior Lecturer in the School of Computer Science and Electronic Engineering (CSEE) and Assistant Director of Institute for Analytics and Data Science (IADS).

His research interests include: Reinforcement Learning; Machine Learning; Neural Networks; and Role Playing Games.

 

Key information 

Pricing

  • Standard programme fee: £995 
  • Alumni programme fee: £795 

How to book:

Book online.

If you wish to pay by invoice or have a promotional code, please email execed@essex.ac.uk to book your place.