MSc Data Science with Professional Placement

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Tuition fee
Apply by
Start date
Jan 2025
Oct 2025
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
1 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. 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.

Data science is a growing and important field of study with a fast-growing number of jobs and opportunities within the private and public sector. The application of theory and methods to real-world problems and applications is at the core of data science, which aims especially to use and to exploit big data.

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, MSc Data Science at Essex is for you. You study a balance of solid theory and practical application including:

  • Computer science
  • Programming
  • Statistics
  • Data analysis
  • Probability

A successful career in data science requires you to possess truly interdisciplinary knowledge, so we ensure that you graduate with a wide-ranging yet specialised set of skills in this area. You are taught mainly within our Department of Mathematical Sciences and our School of Computer Science and Electronic Engineering, but also benefit from input from our Essex Business School, and our Essex Pathways Department. Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course can open the door to almost any industry, from health, to government, to publishing.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Compulsory modules
  • Introduction to Programming in Python
  • Applied Regression and Experimental Data Analysis
  • Applied Statistics
  • CE802-7-AU or MA336-7-SP
  • Databases and data processing with SQL
  • Data Visualisation
  • Research Skills and Employability
  • Professional Placement
  • Options modules
  • Network Analysis
  • Nonlinear Programming
  • Combinatorial Optimisation
  • Dynamic programming and reinforcement learning
  • Information Retrieval
  • Text Analytics
  • Natural Language Engineering
  • Data Science and Decision Making
  • Neural Networks and Deep Learning
  • Big-Data for Computational Finance
  • Compulsory modules
  • Professional Placement
  • Dissertation
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Jan 2025
    Oct 2025
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    1 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs