MSc Management with Human Resource Management (Professional Practice)
The University of Huddersfield's MSc Management with Human Resource Management (Pro...
BSc (Hons) Computer Science with Artificial Intelligence with Placement Year
Queensgate
INTAKE: September
Program Overview
The BSc (Hons) Computer Science with Artificial Intelligence with Placement Year program at the University of Huddersfield provides students with a comprehensive education in computer science with a specialized focus on artificial intelligence (AI). This undergraduate degree combines theoretical knowledge with practical skills in programming, data analysis, machine learning, and AI algorithms. The program aims to prepare students for careers in AI-related roles across various industries by providing hands-on experience and industry placements.
Curriculum: The curriculum of the BSc (Hons) Computer Science with Artificial Intelligence with Placement Year program covers a wide range of subjects essential for understanding computer science fundamentals and advanced concepts in artificial intelligence. Students study topics such as programming languages, data structures, algorithms, database systems, computer networks, and software engineering. Specialized modules focus on AI techniques, including machine learning, neural networks, natural language processing, computer vision, and robotics. The placement year allows students to gain valuable industry experience, apply their knowledge in real-world settings, and develop professional skills relevant to AI roles.
Research Focus: The University of Huddersfield encourages students in the Computer Science with Artificial Intelligence program to engage in research projects that explore current trends and challenges in AI technology. Students have the opportunity to conduct research on topics such as AI ethics, AI applications in healthcare, AI-driven automation, and AI safety. Research-focused modules provide students with the skills to analyze AI algorithms, evaluate AI systems, and contribute to advancements in the field of artificial intelligence.
Industry Engagement: The BSc (Hons) Computer Science with Artificial Intelligence with Placement Year program emphasizes industry engagement to ensure that students are well-prepared for careers in the technology sector. The University of Huddersfield collaborates with industry partners, technology companies, and AI startups to provide students with opportunities for internships, work placements, and industry projects. Guest lectures, hackathons, and networking events connect students with professionals in the field, providing insights into industry trends, emerging technologies, and career pathways in AI-related roles.
Global Perspective: The University of Huddersfield recognizes the importance of a global perspective in the field of computer science and artificial intelligence. The BSc (Hons) Computer Science with Artificial Intelligence with Placement Year program explores global AI trends, international research collaborations, and cross-cultural applications of AI technology. Study abroad opportunities, international conferences, and collaborative projects with universities worldwide enable students to gain multicultural experiences and understand the global impact of AI on society, economy, and innovation.
Location
Queensgate
Score
IELTS 6
Tuition Fee
£ 20900
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 87, with at least 21 in Listening, 22 in Reading, 24 in Speaking, and 21 in Writing.
- PTE Academic: A minimum overall score of 66 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 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.
The University of Huddersfield offers several scholarships and funding opportunities to support students in their academic journey. These scholarships are designed to recognize academic excellence, encourage diversity, and provide financial assistance to eligible students.
Vice-Chancellor's Scholarship: This scholarship is available for international students and offers a tuition fee discount of up to £4,000 for the first year of study.
International Scholarship: The university offers a range of international scholarships for undergraduate and postgraduate students. These scholarships provide financial support towards tuition fees and are awarded based on academic merit.
Enterprise Placement Year Scholarship: This scholarship is available for undergraduate students undertaking a placement year as part of their degree program. It provides a bursary of £1,000 to support students during their placement.
International Academic Excellence Scholarship: This scholarship is awarded to high-achieving international students applying for undergraduate or postgraduate programs. It offers a tuition fee discount of up to £4,000.
Subject-Specific Scholarships: The University of Huddersfield also offers scholarships specific to certain subject areas or departments. These scholarships may have specific eligibility criteria and application processes.
Graduates of the BSc (Hons) Computer Science with Artificial Intelligence with Placement Year program at the University of Huddersfield are equipped with the skills and knowledge to pursue various exciting career opportunities in the rapidly expanding field of artificial intelligence (AI) and technology.
AI Engineer/Developer: Graduates can pursue careers as AI engineers or developers, focusing on designing, developing, and implementing AI-driven solutions for different industries. They work on projects such as natural language processing, computer vision, machine learning, and robotics, creating intelligent systems and applications.
Machine Learning Engineer: Graduates may work as machine learning engineers, specializing in developing algorithms and models that enable machines to learn from data and make predictions or decisions autonomously. They apply machine learning techniques to solve complex problems in areas such as healthcare, finance, e-commerce, and autonomous vehicles.
Data Scientist: Graduates can work as data scientists, analyzing large datasets to extract valuable insights and trends that inform business decisions and strategic planning. They use statistical analysis, machine learning algorithms, and data visualization techniques to uncover patterns and correlations in data.
AI Researcher: Graduates interested in advancing the field of artificial intelligence can pursue careers as AI researchers in academic institutions, research labs, or technology companies. They conduct research on AI algorithms, develop new techniques, and publish findings in peer-reviewed journals to contribute to the advancement of AI technology.
AI Consultant: Graduates may work as AI consultants, providing advisory services to businesses on how to leverage AI technology to improve efficiency, productivity, and innovation. They assess business needs, identify opportunities for AI implementation, and develop customized AI solutions tailored to client requirements.
Software Engineer: Graduates with a strong foundation in computer science and AI can work as software engineers, developing software applications, systems, and platforms that incorporate AI capabilities. They design, code, test, and maintain software solutions that utilize AI algorithms for tasks such as image recognition, speech recognition, and recommendation systems.
Robotics Engineer: Graduates interested in robotics can work as robotics engineers, designing and developing robotic systems and autonomous machines that perform tasks in various environments. They integrate AI technologies such as machine learning and computer vision into robotic systems to enable intelligent behavior and decision-making.
Cybersecurity Analyst: Graduates may pursue careers as cybersecurity analysts, focusing on protecting AI systems, networks, and data from cyber threats and attacks. They identify vulnerabilities, implement security measures, and develop strategies to safeguard AI applications and platforms from malicious activities.
Product Manager: Graduates with strong leadership and communication skills can work as product managers, overseeing the development and launch of AI products and services. They define product requirements, prioritize features, and collaborate with cross-functional teams to deliver AI solutions that meet customer needs and market demands.
AI Entrepreneur: Graduates with an entrepreneurial mindset can start their own AI-focused businesses or startups, developing innovative products, services, or applications that address specific market needs or solve complex problems using AI technology.
