Amity University Gurgaon

PG Diploma in Data Science at Amity University, Gurugram, Haryana

The PG Diploma in Data Science at Amity University, Gurugram, Haryana is a one-year program designed to provide professionals and graduates with advanced knowledge and practical skills in data analysis, machine learning, artificial intelligence, and big data technologies. The program emphasizes hands-on projects, real-world datasets, and industry-oriented learning to prepare students for data-centric roles in diverse sectors.

PG Diploma (Data Science) Course

Course Fee: ₹98,000 per year
Duration: 1 Year
Eligibility: Graduation in any discipline from a recognized university. The program is suitable for working professionals or fresh graduates seeking to upskill in data science and analytics.

PG Diploma (Data Science) Course

The curriculum blends theoretical foundations with practical applications to enable immediate deployment of data science skills in the workplace.

Career Scope after PG Diploma (Data Science)

Graduates gain the skills to work in data-driven roles across multiple industries, enhancing decision-making and analytical capabilities.

Job Profiles & Key Responsibilities

Data Scientist: Design and deploy predictive and analytical models.
Data Analyst: Interpret datasets to provide actionable insights.
Machine Learning Engineer: Develop and optimize AI/ML models.
Business Analyst: Leverage data insights for business decisions.
Big Data Engineer: Handle large-scale data systems and pipelines.
AI Analyst: Implement AI solutions for business processes.

Career Sectors

PG Diploma graduates can work in:
IT & Software Companies
Analytics & Consulting Firms
Banking, Finance & FinTech Organizations
E-commerce & Retail Companies
Healthcare & Pharmaceutical Industries
Telecom & Technology Firms
Research & Development Organizations
Government & Public Sector Units

Why Choose PG Diploma in Data Science at Amity University, Gurugram?

This 1-year PG Diploma at Amity University, Gurugram, Haryana offers industry-aligned curriculum, hands-on labs, real-world data projects, and expert faculty guidance. It equips students with advanced analytical skills, practical experience, and data-driven decision-making capabilities, making them ready for high-demand roles in data science and analytics.