This course offers in-depth specialist knowledge in machine learning, statistics, and software technology, providing a comprehensive foundation in data science theory and practical application. It prepares students for industry roles and research opportunities through rigorous mathematical training and hands-on projects.
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This course offers in-depth specialist knowledge in machine learning, statistics, and software technology, providing a comprehensive foundation in data science theory and practical application. It prepares students for industry roles and research opportunities through rigorous mathematical training and hands-on projects.
Not Available in Not Available
400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
90.0
Starting 2025-09-01
Apply before 2125-04-18
Jul-25, 2 Sept 2025, 2025-11-01 00:00:00, 2026-05-01 00:00:00
Courses include:Applied data scienceStatistics for data scienceMachine learningSoftware technologies for data scienceResearch project preparationPlus optional unitsCheck out the full curriculumVisit programme website
Applicants should possess a first or strong second-class Bachelor's honours degree or equivalent, with a focus on computer science, mathematics, physics, engineering, or related fields with substantial mathematical content. Programming experience is advantageous. Consideration may be given to applicants with lower grades if they demonstrate relevant skills and experience. Non-native English speakers must meet the English language proficiency requirements unless their degree was completed in the UK within the last two years.
₹39,63,084/Year
Annual Fee
2 years
Total Duration
No Living costs available.
No University Scholarships Available
N/A
Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
2000 USD
Deadline
15 Apr 2025
N/A
Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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