BSc Artificial Intelligence and Computer Science

Birmingham

 

INTAKE: September

Program Overview

The University of Birmingham offers a specialized BSc (Bachelor of Science) in Artificial Intelligence and Computer Science program, designed to provide students with a focused education in the intersection of artificial intelligence (AI) and computer science. This program aims to equip students with knowledge and skills in AI algorithms, machine learning, data analysis, and computer science fundamentals.

Curriculum: The BSc in Artificial Intelligence and Computer Science curriculum covers core computer science subjects alongside specialized AI courses. Students study programming, algorithms, data structures, and delve into AI-specific topics such as machine learning, natural language processing, computer vision, and robotics.

Research Focus: The program emphasizes research-oriented learning, encouraging students to explore AI-related research areas. Students have opportunities to engage in projects focusing on AI applications, algorithm development, data analysis, and the practical implementation of AI technologies.

Industry Engagement: The program fosters industry engagement through collaborations with tech companies, AI-focused organizations, and research institutions. Students may participate in industry-led projects, internships, or placements, gaining practical experience and exposure to real-world AI applications.

Global Perspective: While primarily focusing on technical aspects, the program incorporates a global perspective by exploring AI’s impact on global issues, ethical considerations in AI development, and the global adoption of AI technologies across various industries and cultures.

Pollster Education

Location

Birmingham

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

£ 25860

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 85% or equivalent in their respective country's grading system.

English Language Proficiency: 

  • IELTS: A minimum overall score of 6.5 with no individual component below 6.
  • TOEFL: A minimum overall score of 88, with at least 20 in Listening, 21 in Reading, 22 in Speaking, and 21 in Writing.
  • PTE Academic: A minimum overall score of 67 with no individual score below 64.
  • 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 Birmingham offers a range of scholarships and bursaries to support students with their studies. 

Academic Scholarships: These are awarded to students who achieve outstanding academic results. The scholarship amount varies depending on the course and level of study.

Sports Scholarships: These are awarded to students who excel in sports. The scholarship covers the cost of tuition fees and accommodation.

International Scholarships: These are awarded to international students who demonstrate academic excellence. The scholarship covers the cost of tuition fees and provides a maintenance allowance.

Subject-specific Scholarships: These are awarded to students studying certain subjects. The scholarship amount and eligibility criteria vary depending on the subject.

The University of Birmingham provides excellent facilities, is highly ranked, and offers a range of scholarships and bursaries to support students.

Graduates of the BSc (Bachelor of Science) in Artificial Intelligence and Computer Science program from the University of Birmingham possess a unique skill set that prepares them for diverse and specialized career paths at the intersection of artificial intelligence (AI) and computer science.

AI/Machine Learning Engineer: Graduates can pursue careers as AI or machine learning engineers, developing AI algorithms, machine learning models, and implementing AI solutions in various industries like healthcare, finance, and technology.

Data Scientist/Analyst: They may work as data scientists or analysts, utilizing AI and machine learning techniques to extract insights from large datasets, make data-driven decisions, and solve complex problems.

Robotics Engineer: Graduates can specialize in robotics, working on the design, development, and programming of robots for industries such as manufacturing, healthcare, or automation.

Natural Language Processing (NLP) Specialist: They may specialize in NLP, focusing on developing systems that understand, interpret, and generate human language, applicable in areas like virtual assistants, translation, and sentiment analysis.

Computer Vision Engineer: Graduates can specialize in computer vision, working on technologies that enable machines to interpret visual information, applicable in fields like image recognition, autonomous vehicles, and augmented reality.

AI Ethics Specialist: They may work in AI ethics, focusing on the ethical implications of AI technologies, ensuring responsible development, and addressing ethical challenges in AI deployment.

AI Product Manager: Graduates can work as AI product managers, overseeing the development and launch of AI-based products or services, aligning business goals with AI capabilities.

AI Researcher/Scientist: They may pursue research roles in AI, exploring new AI algorithms, techniques, and applications, contributing to advancements in the field.

AI Consultant/Advisor: Graduates can work as consultants or advisors, guiding organizations on adopting AI technologies, implementing AI strategies, and optimizing AI solutions.

Technology Entrepreneur: They may venture into entrepreneurship, founding AI-based startups or tech companies, developing innovative AI solutions or services.


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