Data Science

BSc in Data Science: Students who get this degree gain a thorough understanding of statistical modeling, programming, and data analysis. Along with important topics like data visualization, machine learning, big data technologies, and statistical inference, the curriculum covers programming languages like Python, R, and SQL. Database systems, machine learning, big data technologies, data wrangling, data visualization, statistical methods, and introduction to data science are among the core themes. Specialization in areas such as cloud computing, business analytics, artificial intelligence, and natural language processing is possible with elective modules. Modern resources including software tools, high-performance computing clusters, and data analytics labs facilitate hands-on learning. Through case studies, group projects, and internships, students obtain practical experience.

MSc in Data Science: This program aims to give students advanced knowledge in big data technologies, machine learning, and data analytics. In the data-driven economy, it equips students for leadership and research jobs. Artificial Intelligence, Big Data Processing, Statistical Data Analysis, Data Mining and Predictive Analytics, Advanced Machine Learning, and Data Visualization and Communication are among the core modules. Research topics include data ethics, natural language processing, and deep learning are available for students to investigate. The curriculum offers practical learning through capstone projects and consulting assignments, and it benefits from industry relationships, cloud computing platforms, and state-of-the-art research laboratories.

For BSc:

• A minimum CGPA of 3.0 to 3.5 out of 5.0 is required, which is equivalent to 60–70% on the HSC test.
• English language proficiency: TOEFL 78-80 overall, PTE 58-61 overall, IELTS 6.0-6.5 overall, with no band lower than 5.5, etc. (minimum).
• Subject-specific specifications: Proficiency in mathematics may be necessary.

For MSc:

• A minimum CGPA of 2.75 to 3.3 out of 4.0 is required for an MSc, depending on the university.
• Highly regarded universities (including Oxford, Cambridge, Imperial, and UCL) require a bachelor’s degree with a 3.5+ out of 4.0 or First Class (70% or higher).
• Academic Background: Generally, one needs a bachelor’s degree in statistics, computer science, engineering, mathematics, or a closely related discipline.
• PTE 62 overall (with no component below 59), TOEFL 87-90 overall (with section minimums of Listening 17, Reading 18, Speaking 20, and Writing 21), or IELTS 6.5 overall (with no band less than 5.5) are examples of English language competency.

• BSc: £16,000 – £35,000 per year (varies by university and program).
• MSc: £13,000 – £26,000 per year (depending on the degree and institution).

• • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Machine Learning Engineer
  • Big Data Engineer
  • Data Engineer
  • AI Specialist
  • Quantitative Analyst
  • Statistician
  • Data Consultant

   

  Salary Range & Employability Rate: The average yearly income for UK data science graduates is £35,000, but experienced professionals can expect to make up to £60,000. Graduates from prestigious schools, such as Imperial College London or the University of Edinburgh, may expect to make over £70,000. Within six months, the employability rate for data science graduates is over 70%, indicating high industry demand. Career success is largely influenced by practical experience, programming expertise, and analytical skills.