The PG Diploma in Data Science program is designed to fast-track the career in the dynamic worlds of data science, data analytics, and artificial intelligence. Blending deep technical knowledge with real-world application, the program sharpens the expertise in machine learning & AI, deep learning, natural language processing (NLP), and advanced analytics. This program empowers to build intelligent systems and drive strategic decision-making.
Students master core skills in statistical modeling, programming and optimization, while developing practical expertise in managing, transforming, and interpreting data. With hands-on training in business intelligence tools, data visualization, and cloud computing, graduates are future-ready to lead innovation and solve complex challenges in today's AI-powered, data-driven industries.
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The program curriculum is carefully designed in collaboration with industry experts to meet the evolving demands of the data science, analytics, and AI sectors. Students gain practical skills, master the latest tools and technologies, and work on real-world projects, ensuring they graduate fully prepared to succeed in the competitive global marketplace.
The program equips learners from diverse backgrounds with essential skills in Python and Statistics through bridge courses. Students gain hands-on experience with data analytics tools, predictive modeling, and data visualization, while tackling real-world projects and business case studies. The program also includes guest sessions, workshops, and industry collaborations, offering practical insights and exposure to current industry practices.
Students go beyond academic training with comprehensive career support services designed preparing them for success in the data science industry. From personalised career counseling that helps map out career goals to resume building and interview preparation workshops tailored to data science roles, students receive targeted guidance every step of the way.
The program also provides industry networking opportunities through career fairs, webinars, and access to an extensive alumni network. Additionally, students receive dedicated internship and placement support, connecting them with top companies to secure valuable work experience and full-time positions in data science, analytics, and AI.
Globally Recognized 5-Star Rated University
Manipal Dubai is rated 5 Stars by KHDA for its exceptional teaching, facilities, and overall student experience, ensuring a world-class education that meets international standards.
The following are the key eligibility criteria for prospective students:
The PG Diploma in Data Science course from Manipal Academy of Higher Education, Dubai, opens doors to many career opportunities in the rapidly evolving data-driven landscape.
Students can step into various roles, including:
The first term sets the foundation by introducing students to the fundamental principles and tools essential for data science. It is designed to build a strong base in data handling, analysis and the application of machine learning techniques.
| Term 1 |
|---|
| Data Science Toolkit |
| Machine Learning |
Students get the opportunity to specialise in one of two areas, based on their interests and career goals. This term emphasises analytical frameworks, data modelling and innovations in the field, preparing individuals to align their learning with the latest industry demands and methodologies.
Term 2 (Specialisation) Artificial Intelligence for Data Science | Term 2 (Specialisation) Business and Data Analytics |
|---|---|
| Advanced Machine Learning | Data Analytics Toolkit |
| Natural language Processing | Business Intelligence |
It is dedicated to applying the comprehensive skill set acquired in the previous terms to practical and real-world situations. Students select electives that allow them to explore specific interests further. Additionally, a significant component of this term is devoted to project work, where students engage in hands-on projects, demonstrating their readiness to enter the professional world of data science.
| Term 3 |
|---|
Elective - 1: Advanced Visualisation Big Data Technologies |
| Project Work/Practice School |
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