MSc Information Technology with Data Analytics
- January
- May
- September
- IELTS 6.0 Overall not less than 5.5
- PTE 59 Overall not less than 59
PROGRAMME INFORMATION
This programme will develop your familiarity with mathematical, statistical, and computational data modelling techniques. You will gain experience in carrying out data analysis, communicating and critically commenting on the results.
Programme highlights:
- The MSc Information Technology with Data Analytics is ideal for students who have a degree in a subject other than IT or computing and wanting to develop much sought-after business-relevant IT knowledge and skills.
- Graduates of the MSc Information with Data Analytics Technology will be in high demand by industry.
WHY STUDY MSC INFORMATION TECHNOLOGY WITH DATA ANALYTICS?
WHO IS THIS PROGRAMME FOR?
This is a specialised master’s degree that focuses on the intersection between the fields of information technology and data analytics, teaching students the skills and knowledge to analyse and interpret large volumes of data using IT tools and techniques. Living in an increasingly data-driven world, graduates of this degree will be in high demand across various industries and in many companies. You will learn about the different aspects of information technology, as well as gaining expertise in data analytics by extracting meaningful insights and patterns from data sets to support decision-making processes and solve complex problems.
WHERE WILL THIS PROGRAMME TAKE ME?
WHAT COULD MY FUTURE CAREER LOOK LIKE?
- Data Analyst/ Business analyst:Â Work on analysing data, creating reports, and deriving insights to support business decision-making.
- Data Engineer:Â Focus on data cleaning, transformation, and database management tasks, as well as supporting more senior team members in data analysis projects.
- Data Scientist:Â Lead data analytics initiatives, mentor junior team members, and collaborate with cross-functional teams to develop data-driven solutions.
- Machine Learning Engineer:Â Design, develop, and deploy machine learning models and artificial intelligence systems to extract insights and make predictions from large datasets, enabling data-driven decision-making for organisations.