MSc in Accounting and Business Management (Brunel Business School)
MSc in Accounting and Business Management: The MSc in Accounting and Business Managemen...
BEng in Electronic and Electrical Engineering (Artificial Intelligence)
London
INTAKE: September
Program Overview
The BEng in Electronic and Electrical Engineering (Artificial Intelligence) program at Brunel University London offers students a comprehensive education in the field of electronic and electrical engineering, with a specialized focus on artificial intelligence (AI). This program integrates theoretical learning with practical application, providing students with the knowledge and skills needed to design, develop, and implement AI-based solutions in various industries and sectors.
Curriculum: The curriculum of the BEng in Electronic and Electrical Engineering (Artificial Intelligence) program covers a wide range of topics related to electronic engineering, electrical engineering, and artificial intelligence. Students engage in coursework that includes fundamental concepts in mathematics, physics, circuits, signals, and systems. Additionally, the program offers specialized modules in AI, machine learning, neural networks, robotics, and data science. Students also have the opportunity to work on practical projects and laboratory experiments, gaining hands-on experience with AI technologies and tools.
Research Focus: Brunel University London emphasizes a strong research focus within its BEng in Electronic and Electrical Engineering (Artificial Intelligence) program, encouraging students to engage in research projects that explore cutting-edge developments in AI and its applications. Students have the opportunity to conduct research on topics such as deep learning, computer vision, natural language processing, autonomous systems, and AI ethics. By participating in research initiatives, students develop critical thinking skills, research capabilities, and a deeper understanding of AI technologies, preparing them to address complex engineering challenges and contribute to the advancement of AI science and engineering.
Industry Engagement: The BEng in Electronic and Electrical Engineering (Artificial Intelligence) program at Brunel University London fosters close collaboration with industry partners to provide students with real-world experience and industry insights. Through guest lectures, industry-sponsored projects, and internships, students have the opportunity to interact with AI professionals, gain practical insights into industry practices and trends, and build valuable connections within the AI industry. Additionally, the program may offer opportunities for students to work on AI-related research projects in collaboration with industry partners, further enhancing their industry engagement and employability.
Global Perspective: Brunel University London promotes a global perspective within its BEng in Electronic and Electrical Engineering (Artificial Intelligence) program, recognizing the international nature of the AI industry and the importance of cross-cultural understanding in engineering practice. Students explore global trends in AI research, innovation, and application, and learn about AI developments in different countries and regions around the world. The program may offer opportunities for international study exchanges, collaborations with international research institutions, or participation in global AI competitions, allowing students to gain exposure to diverse AI cultures and perspectives. This global perspective enhances students' creativity, expands their engineering knowledge, and prepares them to work effectively in multicultural and international AI environments.
Location
London
Score
IELTS 6
Tuition Fee
£ 21470
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 70% 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 90, with at least 20 in Listening, 20 in Reading, 20 in Speaking, and 20 in Writing.
- PTE Academic: A minimum overall score of 59 with no individual score below 59.
- Some 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.
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.
Brunel University London offers a range of scholarship programs designed to support deserving students throughout their academic journey. These scholarships are awarded based on various criteria, including academic achievement, extracurricular involvement, leadership potential, and financial need. The university strives to provide opportunities for exceptional students to excel and contribute to their chosen fields.
Merit-Based Scholarships: Brunel University London offers merit-based scholarships to recognize and reward academic excellence. These scholarships are available to both undergraduate and postgraduate students who have demonstrated exceptional academic achievements in their previous studies. By offering merit-based scholarships, the university aims to attract the brightest minds and provide them with the necessary support to pursue their educational goals.
Subject-Specific Scholarships: Brunel University London also offers subject-specific scholarships to students enrolled in certain academic disciplines. These scholarships are tailored to support students studying in fields that align with the university's areas of expertise, such as engineering, business, law, arts, social sciences, health, and environmental sciences. Subject-specific scholarships encourage students to excel in their chosen fields and contribute to advancements in their respective disciplines.
International Scholarships: To promote diversity and internationalization, Brunel University London provides scholarships specifically designed for international students. These scholarships help alleviate financial barriers and make education more accessible to talented students from around the world. International scholarships are offered based on criteria such as academic achievement, leadership potential, and cultural diversity, ensuring that deserving international students have the opportunity to study at Brunel University London.
Access and Widening Participation Scholarships: Brunel University London is committed to widening access to higher education. To support students from disadvantaged backgrounds and underrepresented groups, the university offers access and widening participation scholarships. These scholarships aim to remove financial barriers and provide support to students who may face additional challenges in accessing higher education. Through these scholarships, Brunel University London strives to create a diverse and inclusive learning environment.
Brunel University London offers a range of scholarships to support academic excellence, promote diversity, and ensure access to education for students from various backgrounds. The university's scholarship programs recognize and reward outstanding achievements, provide support in subject-specific areas, encourage international students to pursue their educational goals, and widen access to higher education. Through these scholarships, Brunel University London demonstrates its fostering talent, promoting inclusivity, and supporting students in their educational endeavors.
Graduates of the BEng in Electronic and Electrical Engineering (Artificial Intelligence) program at Brunel University London have a wide array of career opportunities available to them in the rapidly expanding field of artificial intelligence (AI) and related industries. With their specialized knowledge in electronic and electrical engineering combined with expertise in AI, graduates are well-equipped to pursue diverse and rewarding careers.
AI Engineer/Developer: AI engineers or developers design, develop, and implement AI-based solutions for various applications such as natural language processing, computer vision, autonomous systems, and machine learning algorithms. They work on developing AI models, optimizing algorithms, and deploying AI systems in real-world scenarios. AI engineers may work in industries such as technology, healthcare, finance, automotive, and manufacturing.
Robotics Engineer: Robotics engineers design, develop, and maintain robotic systems that use AI technologies to perform tasks autonomously. They work on creating robots for applications such as industrial automation, healthcare assistance, autonomous vehicles, and consumer electronics. Robotics engineers may work for robotics companies, research institutions, or in industries where robotics technology is utilized.
Data Scientist: Data scientists analyze large volumes of data to extract insights, patterns, and trends using AI and machine learning techniques. They work on developing predictive models, analyzing data sets, and deriving actionable insights to solve complex problems. Data scientists are in demand across various industries, including e-commerce, healthcare, finance, and cybersecurity.
Machine Learning Engineer: Machine learning engineers specialize in designing and implementing machine learning algorithms and models to enable computers to learn from data and make predictions or decisions without explicit programming. They work on tasks such as data preprocessing, feature engineering, model training, and model evaluation. Machine learning engineers may work for technology companies, research institutions, or startups focused on AI-driven products and services.
AI Research Scientist: AI research scientists conduct research to advance the field of artificial intelligence by developing new algorithms, methodologies, and techniques. They work on solving complex AI problems, pushing the boundaries of AI capabilities, and addressing challenges such as interpretability, fairness, and scalability. AI research scientists typically work in academia, research institutions, or in AI-focused companies.
AI Consultant: AI consultants provide advisory services to organizations seeking to leverage AI technologies to solve business problems and improve operations. They assess clients' needs, develop AI strategies, and recommend AI solutions that align with business goals and objectives. AI consultants may work for consulting firms, technology companies, or as independent consultants serving clients across various industries.
Autonomous Systems Engineer: Autonomous systems engineers design and develop systems that can operate independently and make decisions based on sensory input and AI algorithms. They work on applications such as autonomous vehicles, drones, and robotic systems for various industries, including transportation, logistics, agriculture, and defense.
AI Product Manager: AI product managers oversee the development and launch of AI-powered products and services. They work closely with cross-functional teams, including engineers, designers, marketers, and sales teams, to define product requirements, prioritize features, and drive product development efforts. AI product managers may work for technology companies, startups, or in industries adopting AI-driven solutions.
