MSc Intelligent Systems and Robotics

Postgraduate Entry Requirements:

• Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of  50 to 55% or equivalent.
• English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
  • IELTS: A minimum overall score of 6.0 with no individual component below 5.5.
  • TOEFL: A minimum overall score of 90.
  • PTE Academic: A minimum overall score of 62 with no individual score below 51.
• 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 entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.

The University of Essex offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize and reward academic excellence, promote diversity and inclusion, and provide assistance to those facing financial challenges.  

1. Academic Excellence Scholarships: The university offers scholarships to outstanding students who demonstrate exceptional academic achievements. These scholarships are typically merit-based and provide financial support towards tuition fees or living expenses.
2. International Scholarships: The University of Essex provides scholarships specifically designed for international students. These scholarships aim to attract and support talented students from around the world. Eligibility criteria and award amounts may vary, and they may cover a portion of tuition fees or provide assistance with living expenses.
3. Subject-specific Scholarships: Some departments and schools within the university offer scholarships tailored to specific academic disciplines. These scholarships are often awarded to students with exceptional academic records or those who demonstrate a strong commitment to their field of study.
4. Access and Participation Scholarships: The university is committed to promoting diversity and inclusion. It offers scholarships and financial support to students from underrepresented backgrounds, including those from low-income families or individuals who are the first in their family to attend university.
5. Government-funded Scholarships: In addition to internal scholarships, the University of Essex provides information and guidance on scholarships and funding opportunities offered by external organizations and government agencies. These scholarships may be available to students based on factors such as nationality, field of study, or research interests.
6. Sports Scholarships: The university recognizes the importance of sports and offers scholarships to talented athletes who demonstrate exceptional sporting abilities. These scholarships provide financial support along with access to sports facilities, training programs, and dedicated support services.

It is important to note that scholarship availability, eligibility criteria, and application processes may change over time. 

Graduates of the MSc Intelligent Systems and Robotics course at the University of Essex possess a unique skill set that is in high demand in today's technology-driven world. With their expertise in artificial intelligence, robotics, and machine learning, they are well-positioned for exciting career opportunities in various sectors. 

1. Robotics Engineer: Graduates can pursue careers as robotics engineers, where they design, develop, and program robots for various applications. They can work on projects involving industrial automation, healthcare robotics, autonomous vehicles, or assistive technology. They are responsible for creating intelligent systems that can perceive, analyze, and interact with the environment.

2. Machine Learning Specialist: With their knowledge of machine learning algorithms and techniques, graduates can work as machine learning specialists. They can develop models and algorithms to extract insights from large datasets and enable intelligent decision-making systems. They can contribute to areas such as natural language processing, computer vision, data analytics, and predictive modeling.

3. Artificial Intelligence Researcher: Graduates can pursue careers as AI researchers, focusing on advancing the field of artificial intelligence. They can work on cutting-edge research projects, exploring new algorithms, and pushing the boundaries of intelligent systems. They may contribute to areas such as reinforcement learning, deep learning, or explainable AI.

4. Autonomous Systems Developer: Autonomous systems, such as self-driving cars and unmanned aerial vehicles, are becoming increasingly prevalent. Graduates can work on developing and improving the autonomy capabilities of such systems. They can contribute to areas such as perception, motion planning, and control algorithms to enable safe and efficient autonomous operations.

5. Data Scientist: With their expertise in data analysis and machine learning, graduates can pursue careers as data scientists. They can work with large datasets to extract valuable insights, build predictive models, and drive data-driven decision-making processes. They can find employment in sectors such as finance, healthcare, e-commerce, and marketing.

6. Automation Consultant: Many industries are adopting automation technologies to improve efficiency and productivity. Graduates can work as automation consultants, helping organizations identify opportunities for automation, designing and implementing intelligent systems, and optimizing processes. They can provide solutions to streamline operations, reduce costs, and enhance productivity.

7. Research and Development (R&D) Engineer: Graduates can work in research and development roles, where they contribute to the design and implementation of innovative intelligent systems and robotics technologies. They can collaborate with multidisciplinary teams to solve complex problems, develop prototypes, and bring new products and technologies to market.

8. Technology Entrepreneur: Some graduates may choose to leverage their knowledge and skills to start their own technology ventures. With their expertise in intelligent systems and robotics, they can identify market opportunities, develop innovative solutions, and create startups focused on areas such as automation, AI-driven products, or robotic services.

9. Academic and Research Careers: Graduates who have a passion for academia and research can pursue further studies or research positions. They can undertake doctoral studies and contribute to the advancement of intelligent systems and robotics through research and teaching roles in universities and research institutions.

10. Consulting and Advisory Roles: Graduates can work as consultants or advisors, providing expertise in intelligent systems and robotics to organizations. They can offer guidance on technology adoption, system integration, and strategy formulation, helping businesses harness the potential of intelligent systems to gain a competitive edge.

The MSc Intelligent Systems and Robotics course at the University of Essex equips graduates with the knowledge, practical skills, and industry-relevant experience to excel in the rapidly growing field of intelligent systems and robotics. With a wide range of career opportunities in industries such as robotics, automation, artificial intelligence, and data science, graduates are well-prepared to make a significant impact in shaping the future of technology.