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1 Year On Campus Masters Program
University of ManchesterThe MSc Data Science (Computer Science Data Informatics) at the University of Manchester is a one-year, full-time program designed for students with a strong computer science background.
It offers advanced training in programming, analytics, and data informatics, preparing graduates to develop computational solutions for complex, data-driven problems across industries.
The program draws on the university’s expertise in mathematics, statistics, and computer science, providing rigorous interdisciplinary training with applications in business, technology, and research.
Ranking:
Course Overview:
Core:
Statistics and Machine Learning 1: Statistical Foundations
Statistics & Machine Learning 2: Al, Complex Data, Computationally Intensive Statistics
Understanding Databases
Understanding Data and their Environment
Extended Research Project
Optional:
Data Engineering Concepts
Data Engineering Technologies
Reinforcement Learning
Cognitive Robotics and Computer Vision
Transforming Text Into Meaning
Extended research project addressing real-world computational data challenges.
Focus on practical programming, analytics, and informatics skills development.
Delivered by leading academics from one of the UK’s top universities for computer science and mathematics.
Graduates are prepared for high-demand data science and software development roles in the technology, finance, and engineering sectors.
Pathway to PhD study in computer science, informatics, or data science.
Strong employer demand for data scientists with advanced computer science and informatics expertise.
Entry Requirements: High 2:1 honours degreeNo part time studies availableIELTS Academic: 7 overall with no component score below 6.5TOEFL iBT: 100 with no score below 22 in each section.Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data ScientistData EngineerMachine Learning EngineerSoftware DeveloperData AnalystDatabase DeveloperAI DeveloperComputational Scientist
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