INTERNATIONAL DIPLOMA IN DATA SCIENCE

Program Overview

The International Diploma in Data Science offered in association with UPES University is a future-focused, career-oriented data science program designed to prepare students for high-demand roles in data analytics, artificial intelligence, machine learning, and business intelligence. Recognized as one of the best data science diploma courses in Kerala, this program provides strong technical foundations, hands-on project experience, and industry-relevant certifications.

With training in Python, SQL, machine learning, deep learning, data visualization, NLP, and Power BI, this international diploma equips learners with the practical skills and analytical mindset required by IT companies, startups, MNCs, and data-driven organizations worldwide.

Course Overview

The International Diploma in Data Science (UPES) combines theoretical knowledge with real-world application. Students learn to collect, analyze, visualize, and interpret data to support business decisions and predictive modeling. The program emphasizes hands-on learning through live projects, ensuring learners gain practical exposure to real industry datasets and problem-solving scenarios.

Main Certifications

UPES PROFESSIONAL PROGRAM
FICS UK - INTERNATIONAL DIPLOMA

Additional Certifications & Professional Trainings

Students enrolled in this program receive valuable add on certifications and skill training, including:

1. Live Project – Real world data science project experience

2. Spoken English Training – Professional communication skills

3. SECP – Level 1 Certificate

4. SECP – Level 2 Certificate

5. MS Office with AI – Advanced productivity and AI-enabled tools

These value-added components make this program one of the most job oriented data science diploma courses in Kerala.

Syllabus Overview 

1. Python

   • Core programming concepts, data handling, and scripting for data analysis

2. SQL

   • Database concepts, data querying, data extraction, and management

3. Pandas & Data Visualization

   • Data manipulation using Pandas and visual representation of data insights

4. Statistics & Mathematics

   • Statistical concepts, probability, and mathematical foundations for data science

5. Machine Learning & Deep Learning

   • Predictive models, supervised and unsupervised learning, and neural networks

6. NLP & Power BI

   • Natural Language Processing techniques and business intelligence reporting using Power BI