BSc (Hons) Computing with Artificial Intelligence Technology

London Campus

 

INTAKE: Jan, May & Sept

Program Overview

The BSc (Hons) Computing with Artificial Intelligence Technology program at Northumbria University is designed to equip students with the knowledge and skills to thrive in the rapidly advancing field of artificial intelligence (AI). This program provides a comprehensive understanding of computing principles, algorithms, and technologies underlying AI systems. Students learn to develop intelligent systems, machine learning models, and AI applications that can analyze data, make predictions, and automate tasks. Through a blend of theoretical learning and practical projects, students gain hands-on experience with AI techniques such as neural networks, natural language processing, computer vision, and robotics.

Curriculum: The curriculum of the BSc (Hons) Computing with Artificial Intelligence Technology program at Northumbria University covers a wide range of topics relevant to AI technology. Courses may include programming fundamentals, data structures, algorithms, database management, and software engineering principles. Students also study specialized AI topics such as machine learning, deep learning, reinforcement learning, and AI ethics. The program emphasizes practical learning through AI projects, lab-based exercises, and industry-relevant case studies, allowing students to apply AI techniques to real-world problems and scenarios.

Research Focus: Northumbria University has a strong research focus in artificial intelligence, with faculty members actively engaged in AI research projects across various domains. Students have the opportunity to participate in research initiatives, working alongside faculty mentors to explore cutting-edge developments in AI technology. Research areas may include AI for healthcare, autonomous systems, natural language understanding, and AI ethics and governance. This research focus enhances students' critical thinking skills, analytical abilities, and understanding of AI principles and applications.

Industry Engagement: The BSc (Hons) Computing with Artificial Intelligence Technology program at Northumbria University emphasizes industry engagement and collaboration to ensure that students are prepared for careers in AI technology. The university has partnerships with leading AI companies, research labs, and startups, providing students with opportunities for internships, placements, and industry projects. Students have the chance to gain practical experience through work-based learning, industry-sponsored projects, and participation in AI competitions and hackathons. This industry engagement enhances students' employability and prepares them for successful careers in the AI industry.

Global Perspective: Northumbria University offers students a global perspective on artificial intelligence, exploring AI trends, applications, and challenges from an international standpoint. The BSc (Hons) Computing with Artificial Intelligence Technology program examines global AI initiatives, collaborations, and regulatory frameworks. Students have the opportunity to learn from faculty with diverse international backgrounds, collaborate with peers from around the world, and engage with global AI organizations and initiatives. The program also addresses cross-cultural considerations, ethical implications, and societal impacts of AI technology, preparing students to work in diverse and multicultural environments.

Pollster Education

Location

London Campus

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

£ 19000

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 with no individual component below 5.5.
  • PTE Academic: A minimum overall score of 54 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.

Northumbria University provides support and opportunities for international students to pursue their education. The university offers a range of scholarships specifically designed to assist international students with their tuition fees and living expenses. These scholarships recognize academic excellence, leadership potential, and contribution to the community.

Northumbria Global Scholarship: The Northumbria Global Scholarship is a merit-based scholarship available to international undergraduate and postgraduate students. It provides a partial tuition fee reduction of up to £6,000 for the first year of study. The scholarship is awarded based on academic achievement, and applicants are automatically considered upon applying for a full-time course at Northumbria University.

Country-Specific Scholarships: Northumbria University also offers scholarships specific to certain countries or regions. These scholarships aim to attract high-achieving students from specific countries or regions and provide financial support for their studies at Northumbria University. The eligibility criteria and application process vary depending on the specific scholarship, and interested students should check the university's official website for more information.

External Scholarships: International students may be eligible for external scholarships provided by government bodies, organizations, or foundations in their home countries. These scholarships are external to the university but can be used to support studies at Northumbria University. 

Graduates of the BSc (Hons) Computing with Artificial Intelligence Technology program from Northumbria University are well-equipped with the skills and knowledge to pursue diverse and rewarding career opportunities in the field of artificial intelligence (AI). 

AI Engineer/Developer: AI engineers or developers design, develop, and implement artificial intelligence systems, algorithms, and applications. They work with programming languages such as Python, Java, or C++ to create AI models for tasks such as natural language processing, computer vision, and predictive analytics.

Machine Learning Specialist: Machine learning specialists focus on developing machine learning algorithms and models that enable computers to learn from data and make predictions or decisions autonomously. They work on tasks such as classification, regression, clustering, and reinforcement learning, applying techniques such as neural networks, decision trees, and support vector machines.

Data Scientist: Data scientists analyze large datasets to extract insights, identify patterns, and make data-driven decisions using statistical techniques, machine learning algorithms, and data visualization tools. They work with structured and unstructured data to solve complex problems and generate actionable intelligence for businesses and organizations.

AI Research Scientist: AI research scientists conduct research and development in artificial intelligence, exploring new algorithms, techniques, and methodologies to advance the field of AI. They publish research papers, collaborate with academic and industry partners, and contribute to the development of cutting-edge AI technologies and applications.

AI Consultant/Advisor: AI consultants provide expertise and advisory services to businesses, organizations, or government agencies on AI strategy, implementation, and deployment. They assess AI opportunities, develop AI roadmaps, and recommend AI solutions to help clients leverage AI technology to achieve business goals and competitive advantage.

AI Product Manager: AI product managers oversee the development and launch of AI-powered products and solutions, from concept to delivery. They collaborate with cross-functional teams, define product requirements, prioritize features, and ensure that AI products meet user needs, quality standards, and regulatory requirements.

Robotics Engineer: Robotics engineers design, build, and program robotic systems and autonomous machines that can perform tasks in various domains such as manufacturing, healthcare, agriculture, or transportation. They work on hardware design, sensor integration, motion planning, and control algorithms to create intelligent robotic systems.

AI Ethics and Policy Analyst: With the increasing societal impact of AI technology, AI ethics and policy analysts assess the ethical implications, risks, and societal impacts of AI systems and applications. They analyze AI ethics frameworks, develop AI governance policies, and advocate for responsible AI development and deployment practices.

AI Entrepreneur/Startup Founder: Graduates with entrepreneurial aspirations can start their own AI-related businesses, such as AI consulting firms, AI software companies, or AI-driven startups. They develop AI-powered products or services, secure funding, and build innovative solutions to address market needs and opportunities.

AI Educator/Trainer: AI educators or trainers teach and educate students, professionals, or organizations on AI concepts, principles, and applications. They develop AI training materials, deliver lectures and workshops, and provide hands-on training on AI tools, technologies, and best practices to enhance AI literacy and skills.


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