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This program is tailored to meet the increasing need for expert data scientists and engineers who can blend cutting-edge computer science with contemporary statistical approaches to derive insights and develop data-powered solutions. Students will access top-tier expertise and industry collaborations to master key competencies in statistical modeling, data visualization, machine learning, and specialized fields such as computer vision and NLP.Develop innovative business solutions grounded in data-driven discoveries.Build expertise in designing automated systems for predictions, recommendations, and classifications.Acquire sophisticated mathematical and technical capabilities, including machine and deep learning.Leverage our globally recognized research and partnerships with major tech industry leaders.EvaluationCourse modules are evaluated through coursework assignments and written exams.Your research project will be assessed via thesis submission, presentation, and oral examination.Learning ApproachAll modules combine lectures, seminars, and virtual learning platforms. Each course includes direct interaction with instructors, supplemented by lab sessions and guided independent study.Career OpportunitiesGraduates pursue diverse career paths across technology, healthcare, finance, consulting, marketing, and academia. The comprehensive skill set developed through our programs, along with ample opportunities for extracurricular engagement and professional experience, prepares graduates for roles including:Machine Learning SpecialistData Science LeadChief Data EngineerBig Data SpecialistBusiness Intelligence AnalystTechnical Solutions Analyst
Degree requirements – You need a 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline. IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking.