Bachelor of Computer Science (Artificial Intelligence and Big Data)

Upon successful completion of this program, a student should be able to:

1. Apply Foundational Knowledge: Utilize the theoretical foundations of computer science to effectively solve a wide range of practical problems.
2. Develop Advanced Software Solutions: Design and implement state-of-the-art software systems tailored to various applications and industries.
3. Optimize Problem-Solving Approaches: Create and employ innovative and efficient algorithms and methodologies to address real-world challenges.
4. Analyse and Design Projects: Assess project requirements, conceptualize solutions, and select the appropriate tools for implementation, integration, or management.
5. Collaborate and Communicate Effectively: Function as an integral member of a team, achieving shared objectives while maintaining clear and professional communication with all stakeholders.
6. Adopt Ethical and Professional Standards: Demonstrate a commitment to ethical decision-making and fulfill social responsibilities in professional practices.
7. Leverage AI and Big Data Techniques: Determine and apply suitable artificial intelligence and big data analytics methods to solve complex, real-world problems.
8. Implement AI-Driven Solutions: Design and develop AI-enabled, data-driven applications using advanced algorithms and techniques in big data and artificial intelligence.

These outcomes ensure that graduates are well-equipped with the knowledge, skills, and ethical grounding necessary to lead in the dynamic fields of AI and Big Data. Graduates will be able to pursue careers such as:

• AI Specialist: Design and develop intelligent systems and algorithms that power automation, machine learning, and decision-making processes.
• Data Scientist: Analyse and interpret complex datasets to provide actionable insights and drive strategic decision-making across industries.
• Big Data Engineer: Build and maintain scalable data infrastructure to handle and process massive datasets for business intelligence.
• Machine Learning Engineer: Develop and optimize machine learning models to solve real-world problems in areas such as healthcare, finance, and transportation.
• Data Analyst: Extract, clean, and visualize data to uncover trends and patterns that support informed business decisions.
• AI Product Manager: Oversee the development and deployment of AI-powered solutions, bridging the gap between technical teams and business stakeholders.
• Business Intelligence Analyst: Transform raw data into meaningful insights to enhance operational efficiency and competitive advantage.
• Cybersecurity Analyst: Leverage AI and big data techniques to detect and mitigate security threats in real-time.

Students with qualifications from other curriculum should contact the Student Recruitment and Admissions department at UOWD to determine their eligibility.

All students applying from non UAE MoE curriculum must provide an equivalency of their Secondary School Certificate from the Ministry of Education, UAE; stating the completion of Grade 12.

A student who does not satisfy the criteria for Equivalency of Secondary School Certificate, may be subject to conditional admission, based on receiving a Letter of No Objection to Conditional Admission issued by the Ministry.
At University of Wollongong in Dubai (UOWD), all classes are taught in English. To enrol in a bachelor’s degree program, students are required to submit one of the following English language proficiency certificates.

For the Bachelor Degree – Advanced Entry (3 Years), the required scores are as follows:

• IELTS Academic: An overall score of 6.0, with a minimum score of 6.0 in Reading, Writing, Listening, and Speaking.
• TOEFL Internet-based (iBT): An overall score of 79, with minimum scores of 18 in Reading and Writing, and 17 in Listening and Speaking.
• Pearson Test of English (PTE) Academic: An overall score of 54, with a minimum communicative skills score of 54.

For the Bachelor Degree – Direct Entry (4 Years), the required scores are as follows:

• IELTS Academic: An overall score of 5.0.
• TOEFL Internet-based (iBT): An overall score of 40.
• Pearson Test of English (PTE) Academic: An overall score of 42.

Notes:

• Students with a minimum overall IELTS Academic score of 6.0 and no more than one band score (either in Reading or Writing) between 5.0 and 6.0 may be required to complete a remedial subject during their first semester as a condition for progression.

** Students with a minimum overall IELTS Academic score of 6.0 (or equivalent), including a minimum score of 6.0 in Reading and Writing (or equivalent), are eligible for advanced standing in English language subjects.