BSc (Hons) Artificial Intelligence with Placement Year

Park, Cheltenham

 

INTAKE: September

Program Overview

The University of Gloucestershire's BSc (Hons) in Artificial Intelligence with Placement Year offers a comprehensive program designed to equip students with the essential theoretical understanding and practical skills in artificial intelligence, robotics, and computer science. The program emphasizes the application of these technologies to address real-world challenges across various industries. Recognizing the transformative potential of AI, a field poised to bring about changes as significant as the advent of electricity, the course prepares graduates for in-demand roles such as data scientists, games AI developers, robotics AI programmers, and machine learning engineers. The optional placement year provides a crucial opportunity to gain professional experience, enhancing employability upon graduation.

Curriculum: The curriculum provides a solid foundation in core computing and mathematical concepts, progressing to specialized AI modules. In the initial years, students typically cover fundamental computer science principles, including programming, data structures, algorithms, and the mathematics essential for data science, including propositional logic and set notation. A key focus is on an introduction to artificial intelligence. As the course progresses, students delve into more advanced AI topics. This often includes modules in Computational Intelligence, which covers soft computing and nature-inspired techniques like neural networks and evolutionary systems. Students are also introduced to Natural Language Processing (NLP) and learn to apply AI and natural computation techniques to this field. Crucially, the program integrates the ethical handling of data, preparing students to be responsible AI professionals. Final year modules often include an individual research project and an advanced group project, allowing students to apply their knowledge to substantial, real-world problems. Elective modules may be available, allowing students to specialize in areas of interest, although the specific optional modules can vary from year to year. Throughout the program, students gain practical experience with industry-standard software and tools such as Python, R, C#, C++, scikit-learn, tensorflow, pytorch, pandas, Unity, Visual Studio, and Jupyter notebooks. The program also incorporates workshops, practical sessions, and seminars to facilitate learning and problem-solving. The optional placement year is a significant part of the program, providing a full year of work-based learning.

Research Focus: While a BSc is primarily an undergraduate teaching degree, the program is informed by the research activities of the faculty. Academics at the University of Gloucestershire are engaged in research that aims to solve real-world problems using AI. For example, there has been research into the use of AI to combat cyberbullying, utilizing Natural Language Processing (NLP) and predictive modeling to identify and address harmful online behavior. Another area of research interest among the faculty includes Physical Systems Modelling with Artificial Intelligence, which explores the optimization of physical engineering systems using multi-objective optimization techniques. This involves using AI-based meta-models to estimate model results and focus computational power on promising models. The University's new £5.8 million centre of excellence for cyber and digital in Cheltenham, FuturePark, also serves as a hub for research and innovation in AI and cybersecurity, further supporting the academic environment.

Industry Engagement: The University of Gloucestershire has a strong focus on industry engagement, particularly within the thriving cyber and tech community in the Gloucestershire region. The optional placement year is a prime example of this, providing students with invaluable opportunities to work within the industry. The university's Careers Team assists students in securing placements, offering support with activities such as mock interviews and aptitude tests. The development of the FuturePark center has been in consultation with industry partners such as CyNam, Hub8, and Plexal. This collaboration ensures that the program's curriculum remains relevant to industry needs and provides students with access to state-of-the-art equipment and technology. Furthermore, the university hosts events to showcase student achievements to industry professionals, facilitating networking and potential employment opportunities. The region's strong cyber industry, supported by the presence of GCHQ, provides a fertile ground for industry partnerships and career prospects for AI graduates. The university and local organizations also collaborate on initiatives like the Cyber & AI Bootcamp, which allows young people to work on real technology-based industry challenges with the support of industry mentors.

Global Perspective: While the primary focus of the BSc (Hons) Artificial Intelligence with Placement Year is on the technical and practical aspects of AI, the program is situated within a university that embraces a global outlook. The University of Gloucestershire attracts a diverse student body, with students from a blend of 60 countries. This creates a multicultural learning environment where students can gain a broader perspective through interaction with peers from various backgrounds. Although the specific BSc AI program description doesn't explicitly detail international modules or a mandatory year abroad, the skills gained in AI are highly transferable and in demand globally, preparing graduates for international career opportunities. The University's commitment to a "real-world learning school" with industry links and a focus on career development further supports the global employability of its graduates.

Pollster Education

Location

Park, Cheltenham

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

£ 16600

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 65% or equivalent in their respective country's grading system.

English language proficiency:

  • IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
  • TOEFL: A minimum overall score of 80.
  • PTE Academic: A minimum overall score of 64.
  • Some programs may have specific subject prerequisites or additional requirements.

The University of Gloucestershire offers a range of scholarships designed to support international students in their academic journey. These scholarships are aimed at making education more accessible and affordable, allowing students to focus on their studies and enjoy their time in the UK without financial stress. The university provides several merit-based, need-based, and country-specific scholarships to help ease the cost of tuition fees for international students.

International Scholarships: The University of Gloucestershire offers International Scholarships for students coming from various countries across the globe. These scholarships typically range from £1,000 to £3,000 per year, based on academic achievement and the chosen course of study. The scholarship is automatically awarded to eligible students upon acceptance of their offer to study at the university. These awards are designed to make studying in the UK more affordable and are available for both undergraduate and postgraduate international students.

Excellence Scholarships: For international students who demonstrate outstanding academic performance, the University of Gloucestershire offers Excellence Scholarships. These scholarships are awarded to students who have achieved exceptional academic results in their previous studies. The Excellence Scholarship can be worth up to £3,000 and is designed to recognize and support high-achieving students who show great potential in their chosen field of study.

Country-Specific Scholarships: In addition to general international scholarships, the University of Gloucestershire offers country-specific scholarships to students from certain regions. These scholarships are tailored to students from specific countries, helping to promote international diversity at the university. The scholarships vary in amount, eligibility criteria, and application processes.

Graduates with a BSc (Hons) in Artificial Intelligence are highly sought after across a multitude of industries as AI becomes increasingly integrated into various aspects of business and society. The placement year provides a significant advantage, allowing graduates to enter the job market with practical experience. 

AI Engineer: AI Engineers design, build, and maintain AI systems and algorithms. They work on developing the core technologies that enable AI applications, including machine learning models and deep learning networks.

Machine Learning Engineer: Specializing in machine learning, these engineers develop and implement algorithms that allow systems to learn from data and make predictions or decisions. They often work on projects like recommendation systems, fraud detection, and predictive analytics.

Data Scientist: Data Scientists are experts in analyzing and interpreting complex datasets to extract meaningful insights. They use a combination of statistical analysis, machine learning techniques, and data visualization to inform business decisions.

Data Analyst: Data Analysts collect, process, and perform statistical analyses on large datasets. They identify trends and patterns to provide actionable insights that can improve business operations and decision-making.

Robotics AI Programmer: For those with an interest in robotics, this role involves programming the AI that controls robots. This could be for industrial automation, autonomous vehicles, or even more specialized robotic applications in fields like healthcare.

Business Intelligence (BI) Developer: BI Developers focus on transforming raw data into understandable and actionable information for businesses. They design and maintain business intelligence tools and dashboards to help organizations make data-driven decisions.

Natural Language Processing (NLP) Engineer: NLP Engineers develop systems that can understand, interpret, and generate human language. This includes working on applications like chatbots, virtual assistants, sentiment analysis tools, and machine translation.

Computer Vision Engineer: Computer Vision Engineers work on systems that can "see" and interpret visual data from images and videos. Applications include facial recognition, object detection, medical image analysis, and autonomous navigation.

Software Engineer: While specialized in AI, a strong foundation in software engineering allows graduates to work as general Software Engineers, applying their programming and problem-solving skills to a wide range of software development projects.

AI Consultant/Strategist: As businesses seek to implement AI solutions, consultants with a strong understanding of AI technologies and their business applications are in demand. They help organizations develop AI strategies and implement solutions to achieve their goals.


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