BSc (Hons) Computer Science (Artificial Intelligence)
Clifton Campus
INTAKE: September
Program Overview
The BSc (Hons) Computer Science (Artificial Intelligence) program at Nottingham Trent University (NTU) offers students an exciting opportunity to delve into the cutting-edge field of artificial intelligence (AI). This program combines theoretical knowledge with practical skills, providing students with a solid foundation in computer science principles while specializing in AI technologies. Students explore the theory, algorithms, and applications of AI, preparing them for careers in fields such as machine learning, robotics, data analytics, and software development.
Curriculum: The curriculum of the BSc (Hons) Computer Science (Artificial Intelligence) program covers a wide range of topics relevant to AI and computer science. Students study programming languages, data structures, algorithms, computer architecture, and software engineering fundamentals. In addition, they delve into specialized AI topics such as machine learning, neural networks, natural language processing, computer vision, and robotics. The program incorporates practical projects, laboratory sessions, and industry-relevant coursework to ensure students develop both theoretical knowledge and hands-on skills in AI technologies.
Research Focus: NTU's BSc (Hons) Computer Science (Artificial Intelligence) program emphasizes a strong research focus, encouraging students to engage in research-led learning and innovation. Students have the opportunity to work on research projects, collaborate with faculty members on AI research initiatives, and participate in AI competitions and hackathons. The program fosters critical thinking, problem-solving skills, and creativity, preparing students to tackle real-world challenges in AI research and development.
Industry Engagement: The BSc (Hons) Computer Science (Artificial Intelligence) program at NTU promotes industry engagement through partnerships with leading tech companies, AI startups, and research institutions. Students have access to guest lectures, workshops, and networking events with industry professionals, gaining insights into the latest trends and technologies in AI. Additionally, the program offers opportunities for internships, work placements, and industry projects, allowing students to gain practical experience and build connections in the AI industry.
Global Perspective: NTU's BSc (Hons) Computer Science (Artificial Intelligence) program adopts a global perspective by exploring AI applications and developments on a global scale. Students study case studies and examples from around the world, learning about AI projects, initiatives, and challenges in different regions. The program also welcomes international students, fostering cross-cultural collaboration and exchange of ideas in the field of AI.
Location
Clifton Campus
Score
IELTS 6
Tuition Fee
£ 17500
Undergraduate Entry Requirements
Academic Qualifications: International students applying for undergraduate programs at NTU are typically required to have completed their secondary education or its equivalent. NTU expects international students to have achieved a minimum of 65% or above in their previous academic qualifications.
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 81, with at least 19 in Listening, Reading, Speaking, and Writing.
- PTE: A minimum overall score of 62 with no individual score below 51.
- 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 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 Nottingham Trent University:
International Vice-Chancellor's Scholarship: NTU offers the Vice-Chancellor's Scholarship for international students. This scholarship is highly competitive and awarded based on academic excellence, with a focus on the applicant's achievements and potential contributions to NTU and their chosen field of study.
International Undergraduate Scholarship: NTU provides undergraduate scholarships for international students, which are awarded based on academic achievement and cover a percentage of tuition fees for each year of study.
Country-Specific Scholarships: NTU offers scholarships tailored to students from specific countries or regions. These scholarships aim to attract talented individuals from diverse backgrounds and may have specific eligibility criteria, such as academic achievement or residency in a particular country.
External Scholarships:NTU encourages international students to explore external scholarship opportunities. There are various organizations, foundations, and governments that offer scholarships to support international students studying in the UK. NTU provides guidance and resources to help students identify and apply for these external scholarships.
It is important to note that scholarship availability, eligibility criteria, and application deadlines may vary from year to year.
Graduates of the BSc (Hons) Computer Science (Artificial Intelligence) program at Nottingham Trent University (NTU) are well-equipped to pursue diverse and rewarding career paths in the rapidly growing field of artificial intelligence (AI).
Machine Learning Engineer: Many graduates choose to work as machine learning engineers, developing and implementing machine learning algorithms and models for various applications such as natural language processing, computer vision, recommendation systems, and predictive analytics. They work for tech companies, startups, research institutions, and large enterprises across industries.
Data Scientist: Graduates may pursue careers as data scientists, leveraging AI techniques and statistical analysis to extract insights from large datasets and make data-driven decisions. They work on projects related to predictive modeling, data mining, pattern recognition, and data visualization, helping organizations gain valuable insights and solve complex problems.
AI Research Scientist: Some graduates become AI research scientists, working in research labs, universities, or tech companies to advance the field of artificial intelligence through innovative research and development. They explore new AI algorithms, techniques, and applications, contributing to scientific breakthroughs and pushing the boundaries of AI technology.
Robotics Engineer: Graduates with a passion for robotics may pursue careers as robotics engineers, designing, developing, and programming robotic systems for various applications such as industrial automation, healthcare, autonomous vehicles, and service robotics. They work on projects involving robot perception, motion planning, control systems, and human-robot interaction.
AI Software Developer: Graduates may work as AI software developers, creating AI-powered software applications, platforms, and tools for diverse purposes such as virtual assistants, chatbots, autonomous vehicles, recommendation systems, and smart devices. They develop algorithms, write code, and optimize software performance to deliver intelligent solutions to end-users.
Natural Language Processing (NLP) Engineer: Graduates specializing in natural language processing may pursue careers as NLP engineers, working on projects related to speech recognition, language understanding, sentiment analysis, machine translation, and text generation. They develop NLP algorithms, train models, and optimize systems for real-world applications in fields such as healthcare, finance, and customer service.
Computer Vision Engineer: Graduates interested in computer vision may work as computer vision engineers, developing algorithms and systems for analyzing and interpreting visual data from images and videos. They work on projects such as object detection, image classification, facial recognition, and augmented reality, with applications in fields like surveillance, automotive, and healthcare.
AI Product Manager: Some graduates transition into roles as AI product managers, overseeing the development and launch of AI-powered products and services. They collaborate with cross-functional teams, define product requirements, prioritize features, and ensure the successful delivery of AI solutions to market, meeting customer needs and business objectives.
AI Ethics and Policy Analyst: Graduates may work in roles focused on AI ethics and policy, addressing ethical and societal implications of AI technologies and advocating for responsible AI development and deployment. They analyze regulatory frameworks, assess ethical considerations, and develop guidelines and policies to ensure AI systems are fair, transparent, and accountable.
Entrepreneur/Startup Founder: Some graduates with entrepreneurial ambitions may start their own AI startups, developing innovative AI solutions, products, or services to address specific market needs or societal challenges. They build teams, secure funding, and navigate the startup ecosystem to bring their AI ideas to fruition and make a positive impact in the industry.
