MSc Applied Data Science in Engineering

Glasgow

 

INTAKE: September

Program Overview

The Master of Science (MSc) in Applied Data Science in Engineering program at Glasgow Caledonian University (GCU) is a cutting-edge and specialized postgraduate program tailored to meet the demands of the data-driven engineering industry. This program equips students with advanced skills in data science, with a specific focus on applications in engineering.

  1. Engineering-Centric Curriculum: The program is uniquely designed to address the specific data science needs within the field of engineering. It provides students with a deep understanding of data analytics, machine learning, and data-driven decision-making, all within the context of engineering.

  2. Comprehensive Skill Development: The curriculum covers a wide array of data science topics, including data preprocessing, statistical analysis, machine learning, deep learning, and the latest big data technologies. Students gain both theoretical knowledge and hands-on practical experience.

  3. Practical Application: GCU emphasizes practical learning through real-world projects and collaborations with industry partners. This allows students to apply data science techniques to solve complex engineering challenges, providing them with valuable industry exposure.

  4. Industry Connections: Glasgow Caledonian University has strong ties with engineering companies, enabling students to access internship opportunities, industry projects, and guest lectures by professionals. These connections bridge the gap between academia and industry.

  5. Research Opportunities: Depending on the program structure, students may have the chance to participate in research projects focused on data-driven engineering solutions. This involvement can contribute to advancements in the field.

  6. Global Perspective: GCU's international outlook ensures that students understand the global applications of data science in engineering. Graduates are well-prepared for careers in engineering and data science in various industries worldwide.

Pollster Education

Location

Glasgow

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 17950

Postgraduate Entry Requirements:

  • Academic Qualifications: For postgraduate programs, international students should have a minimum of 55% or equivalent in their bachelor's degree or equivalent qualification. Some programs may have additional specific requirements related to the field of study or prior knowledge.
  • English Language Proficiency: International students applying for postgraduate programs must demonstrate their English language proficiency.
  • IELTS: A minimum overall score of 6.5 with no individual component below 6.
  • TOEFL: A minimum score of 80 (iBT) is generally accepted.
  • PTE : A minimum overall score of 67 with no individual score below 61.

Some postgraduate programs may have specific subject prerequisites or additional requirements.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

Work experience: Some postgraduate courses may require relevant work experience in the field.

It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.

These scholarships provide opportunities for talented students to pursue their studies at Glasgow Caledonian University.

  1. Academic Excellence Scholarship:Glasgow Caledonian University offers the Academic Excellence Scholarship for international students applying to undergraduate or postgraduate programs.This scholarship provides a tuition fee discount of up to £5,000 for the first year of study.Eligibility criteria are based on academic merit and applicants are automatically considered upon admission.
  2. Chancellor Yunus Scholarship:Named after Nobel Laureate Professor Muhammad Yunus, the Chancellor Yunus Scholarship supports international students who are committed to promoting social business and social innovation.The scholarship provides a tuition fee discount of up to £5,000 for the first year of study.Eligible students must demonstrate a strong interest and engagement in social business and submit a scholarship application.
  3. Commonwealth Shared Scholarships:Glasgow Caledonian University participates in the Commonwealth Shared Scholarship Scheme, which provides fully-funded scholarships to students from eligible Commonwealth countries.These scholarships cover tuition fees, living expenses, and travel costs for the duration of the program.Eligibility criteria and application process are managed by the Commonwealth Scholarship Commission, and applicants must apply through their home country's nominating agency.
  4. Santander Scholarships: Glasgow Caledonian University has a partnership with Santander Bank, which offers scholarships to international students.The Santander Scholarships provide financial support to assist with tuition fees or living expenses.Eligibility criteria vary depending on the specific scholarship, and applicants need to submit a scholarship application.
  5. Other Scholarships and Discounts: Glasgow Caledonian University offers a range of other scholarships and discounts for international students, such as country-specific scholarships, alumni scholarships, and sibling discounts.These scholarships are designed to support students from specific regions or backgrounds and provide financial assistance to make education more accessible.

It is important to note that scholarship availability, eligibility criteria, and application processes may vary each year.

The MSc Applied Data Science in Engineering program in just 16 months, graduates are positioned for a range of exciting career opportunities.

  1. Data Scientist in Engineering: Graduates can work as data scientists within engineering firms, where they utilize data-driven insights to enhance processes, improve product design, and boost overall efficiency.

  2. Machine Learning Engineer: Given the increasing role of machine learning in engineering applications, graduates may pursue careers as machine learning engineers, responsible for developing algorithms and models for engineering solutions.

  3. Data Analyst: Graduates can pursue roles as data analysts, responsible for collecting, processing, and interpreting data to inform engineering decisions and drive improvements in various processes.

  4. Researcher: For those interested in further academic or industrial research, opportunities exist to engage in data-driven engineering research, contributing to advancements in the field.

  5. Data Science Consultant: Graduates can work as data science consultants, assisting engineering companies in adopting data-driven strategies and technologies to gain a competitive edge.


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