MSc Data Analytics
Time Duration
2 years
Study Lecture
Full Time / Part Time (online)
Medium of Instruction
English
Skill Level
Advance
Certificated
Yes
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)
Ready to take the next step in your academic journey?
Join us at Collins University and pave the way for a successful future. We can’t wait to welcome you to our community!