Bachelor's in Data Science

Campus Bachelor Full Time
Delivery
Campus
Study mode
Full Time
Level
Bachelor
Starts
Fall, Spring

Introduction

Data Science is a Bachelor program taught at Keele University, UK. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (4 years) options.

The Bachelor's Degree in Data Science at Keele University provides students with a comprehensive understanding of the key concepts and techniques used in data analysis, machine learning, and programming. The curriculum is designed to equip students with the skills necessary to extract meaningful insights from complex data sets. Throughout the course, students will engage in both theoretical and practical learning, emphasizing hands-on experience through project-based assignments.

The program covers a range of topics, including statistics, data mining, data visualization, and big data technologies. Students will develop proficiency in programming languages such as Python and R, and gain expertise in using data analytics tools and software. The course structure encourages collaboration and problem-solving in real-world scenarios, enabling students to apply their knowledge effectively.

Studying Data Science at Keele University offers a unique opportunity to immerse oneself in a vibrant academic community while residing in a rich cultural environment. The location provides access to various industries and potential internship opportunities, allowing students to network and gain valuable experience during their studies. Graduates will be equipped with a diverse skill set, driving innovation and contributing to advancements in various fields.

Admission Requirements

The minimum requirements for admission in Data Science at Keele University for all applicants (Domestic or International) are:

  • program specific academic requirment set by Keele University.
  • English Language OR any other language requirments as set by Keele University as pre-requiste for admission in Data Science.

Note: Please check the university website in the link below.

Prospective students should have a strong academic background, typically including:

  • A levels (or equivalent) with a focus on mathematics and a science subject
  • Relevant prior experience, such as internships or projects in computing or mathematics, may be advantageous
  • Passion for analytical problem-solving and critical thinking abilities are highly valued

To ensure success in the program, students are generally expected to have:

  • An IELTS score of 6.5 overall, with no individual component lower than 6.0, or
  • A TOEFL score of 90 overall, with a minimum of 21 in each component
  • Other equivalent English language qualifications may also be accepted

Courses Units

More Information

  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Business Intelligence Developer
  • Statistician
  • Data Engineer
  • Quantitative Analyst
  • Research Scientist

Scholarships

85 fully funded scholarships are listed for UK. See UK scholarships.