Data Analytics MSc 12 months Postgraduate Programme By De Montfort University |TopUniversities
Subject Ranking

# 601-650QS Subject Rankings

Programme Duration

12 monthsProgramme duration

Tuitionfee

18,600 GBPTuition Fee/year

Starting Month

Jan, SepStarting Month

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Professionals with the ability to interrogate datasets by applying analytical and machine learning techniques to describe and predict business performance are in high demand worldwide. Our master’s degree in data analytics is designed to equip you with the technical expertise needed for a career in industry, this course will prepare you for roles in analytics by developing your technical expertise and professional skills in business intelligence and data-driven decision-making.

The first semester modules focus on core topic areas such as business intelligence and analytics, data warehouse design, time series forecasting and big data applications, enabling you to gain insights into large multivariate datasets and apply analytical and problem-solving skills to explore business opportunities and challenges faced by data scientists when working with modern business intelligence and analytics systems.

In the second semester, you will apply your technical knowledge and further progress your analytical expertise by focusing on specific data science subject areas such as statistical modelling, research methods, data mining and machine learning methods. You will also be encouraged to demonstrate your technical and analytical abilities in response to real-world problems during your final-semester individual project.

Following completion of this master’s degree you will leave with sought-after skills for business intelligence, data mining, and applied machine learning roles within any field of data science. Opportunities also exist for further academic study towards a doctorate degree and a career in research.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Professionals with the ability to interrogate datasets by applying analytical and machine learning techniques to describe and predict business performance are in high demand worldwide. Our master’s degree in data analytics is designed to equip you with the technical expertise needed for a career in industry, this course will prepare you for roles in analytics by developing your technical expertise and professional skills in business intelligence and data-driven decision-making.

The first semester modules focus on core topic areas such as business intelligence and analytics, data warehouse design, time series forecasting and big data applications, enabling you to gain insights into large multivariate datasets and apply analytical and problem-solving skills to explore business opportunities and challenges faced by data scientists when working with modern business intelligence and analytics systems.

In the second semester, you will apply your technical knowledge and further progress your analytical expertise by focusing on specific data science subject areas such as statistical modelling, research methods, data mining and machine learning methods. You will also be encouraged to demonstrate your technical and analytical abilities in response to real-world problems during your final-semester individual project.

Following completion of this master’s degree you will leave with sought-after skills for business intelligence, data mining, and applied machine learning roles within any field of data science. Opportunities also exist for further academic study towards a doctorate degree and a career in research.

Admission Requirements

6+
60+
2.7+
59+
105+

1 Year
Jan
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Tuition fees

Domestic
10,000 GBP
International
18,600 GBP

Scholarships

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