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MSc Data Analytics

Time Duration

2 years

Study Lecture

Full Time / Part Time (online)

Medium of Instruction

English

Skill Level

Advance

Certificated

Yes

Course

Overview

The Master of Science (MSc) in Data Analytics is a specialized program that focuses on the analysis and interpretation of large volumes of data to extract valuable insights and drive informed decision-making. This program equips students with advanced skills in data mining, statistical analysis, machine learning, and data visualization.

Throughout the MSc Data Analytics program, students gain a deep understanding of the theoretical foundations and practical applications of data analytics. They learn to collect, clean, and transform data, apply statistical models and algorithms, and leverage cutting-edge tools and technologies to extract meaningful patterns and trends.

The program also emphasizes the ethical and responsible use of data, as students learn to navigate the legal and privacy considerations associated with data analytics. Additionally, students develop strong communication skills to effectively convey complex data findings to both technical and non-technical stakeholders.

Upon completion of the program, graduates are well-prepared to pursue careers in various industries that rely on data-driven decision-making. They can work as data analysts, data scientists, business intelligence analysts, or data consultants in sectors such as finance, healthcare, marketing, retail, and technology. The demand for skilled data analytics professionals continues to grow, offering graduates ample opportunities to contribute to the success of organizations by uncovering valuable insights from data and driving data-informed strategies.

Entry requirments

Academic Qualifications: Typically, applicants are required to have a Bachelor’s Degree or an equivalent qualification, such as Level 6 or Level 7 Diploma Program, from any approved university or awarding body. 

English Language or Literature and Maths Grade 4/C in GCSE (or equivalent) are normally required.

For Top-up MSc students must complete Level 7 Diploma in the respective field from a reputed awarding body

For International Students: English Proficiency Test with a minimum score of 5 or above or Documents to prove language proficiency from any reputed institute or school

Course Modules

SEMERSTER 1

  • Strong, Manipulating and Visualising Data (MSDA 01531)
  • Machine Learning with Python  (MSDA 01532)

SEMERSTER 2

  • Probability and Statistics for Data Analysis (MSDA 01533)
  • Advanced Machine Learning  (MSDA 01534) [ELECTIVE]
  • Financial Data Analytics (MSDA 01535) [ELECTIVE]
  • Nural Networks and Deep Learning (MSDA 01536) [ELECTIVE]

*Must choose any one from the Electives 

SEMERSTER 3

  • Programming with Python (MSDA 01537) [ELECTIVE]
  • Graphics and Networks (MSDA 01538) [ELECTIVE]
  • Optimisation for Business Processes (MSDA 01539) [ELECTIVE]
  • SAS for Business Intelligence (MSDA 015310) [ELECTIVE]

*Must choose any of the two from the Electives 

 

SEMERSTER 4

  • Project Disseration (MSDA 015311)
TUITION FEES

Full Time

Regular
Some description text for this item
£6,550

Registration Fees £450
Per Year £6100

TUITION FEES

Part Time

Online
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£5,550

Registration Fees £450
Tution Fees £5100

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