MSc Data Science with Professional Placement

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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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
  • £21,700 Per Year

    International student tuition fee

    2 Years

    Duration

    Oct 2024

    Start Month

    Sep 2024

    Application Deadline

    Upcoming Intakes

    • October 2024

    Mode of Study

    • Full Time