MSc Computational Intelligence

Computational intelligence is an umbrella term covering advanced artificial intelligence techniques based on nature-inspired problem solving. It deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms. There is emphasis on genetic algorithms, evolutionary programming, fuzzy systems, neural networks, connectionist systems, and hybrid intelligent systems in which these paradigms are contained.

Our unique MSc Computational Intelligence covers the theoretical, applied and practical aspects of this subject area. You will study the various disciplines of computational intelligence with a particular focus on linking computational intelligence techniques to real world applications and projects, including computational intelligence in business and financial applications, computational intelligence in games, computational intelligence in biological sciences and medicine, computational intelligence in industrial control and natural language engineering and intelligent Web search.  Our School of Computer Science and Electronic Engineering is internationally leading within the three main areas of computational intelligence - fuzzy systems, neural networks and evolutionary computation – and recently launched the Computational Intelligence Centre to further our reputation as a world class centre of excellence in this subject. Optional modules from Essex Business School will enable you to broaden your studies.

Graduates of this course will understand the various disciplines of computational intelligence with a particular focus on linking techniques to real-world applications and projects including computational intelligence in business and financial applications, computational intelligence in games, computational intelligence in biological sciences and medicine and computational intelligence in industrial control.

Upon graduation from this course, the student will be highly trained in the area computational intelligence and its applications. This will open wide employment opportunities for the graduate in the following areas:

• In software companies aiming to design intelligent software
• In banks and businesses aiming to design intelligent prediction and modelling systems for the various processes in their institutions
• In computer games companies aiming to design intelligent adaptive games
• In pharmaceutical companies aiming to design intelligent systems that models the given drug and its various interactions
• In heavy industries (like oil industries, steel industries, chemical industries , water treatment, car industries, etc) aiming to design intelligent modelling and control systems for these industries. 

The course consists of eight taught modules plus an individual project and associated dissertation. It is taught over 12 months (full-time) or 24 months (part-time).

The Course will be composed of the following modules:

• CE802-7-AU Machine Learning and Data Mining
• CE889-7-AU Artificial Neural Networks
• CE888-7-SP Fuzzy Logic Control and Hybrid Systems
• CE901-7-SU Individual Project and Dissertation
• CE902-7-FY Professional Practice and Research Methodology

The projects will be done on one of the following domains: computational intelligence in business and financial applications, computational intelligence in games, computational intelligence in biological sciences and medicine and computational intelligence in industrial control.  Students can then pick three optional modules from the following streams where they can mix and match

More Specialized Computational Intelligence Related Modules

• CE801-7-AU Intelligent Systems and Robotics
• CE886-7-SP Evolutionary Computation and Genetic programming  
• CE887-7-SP Natural Language Engineering
• CE884-7-SP Constraint Satisfaction for Decision Making

Business and Financial Related Courses to be taught in cooperation with the Essex Business School and CCFEA

• BE750         Global Project Management Execution,  Monitoring, Control and Closure - details to be announced
• BE910-G-AU The Management of Information - details to be announced
• CF961-7-AU  Introduction to Financial Market Analysis
• CF963-7-AU  Learning and Computational Intelligence in Economics and Finance
• CF966-7-SP  Financial Engineering and Risk Management
• CF965-7-AU  High Frequency Finance and Empirical Market Micro-Structure
• CF967-7-SP  Computational Modelling in Finance and Economy

MSc Industry-based Project and Dissertation

With the School's approval, a student may take the MSc Industry-based Project and Dissertation (CE911-7-SU) as an alternative to CE901-7-SU. This is designed to cater for students who are either taking the MSc whilst in employment, or who have secured industrial sponsorship in connection with their studies.