To harness the power of data to drive informed decision-making and innovation, nurturing data scientists who unlock insights and create value in a data-driven world.

• Provide comprehensive training in data analysis techniques, statistical modeling, and machine learning algorithms, equipping students with the skills to extract actionable insights from complex datasets.
• Strengthen interdisciplinary collaboration to apply data analytics to diverse fields, including business, healthcare, cybersecurity, and environmental science, addressing pressing societal challenges and opportunities.
• Develop ethical data practices and privacy standards, ensuring responsible use of data and algorithms for the benefit of individuals and society.

CHAIRMAN
Dr. T. M. JACOB
Associate Professor
Department of Statistics Nirmala College, Muvattupuzha

EXPERTS
Dr. ABDUL SATHAR E. I.
Professor,
Department of Statistics, Kerala University, Kariavattom
Thiruvanadhapuram

Dr. MADHU S NAIR
Associate Professor
Department of Computer Science
Cochin University of Science& Technology Cochin-22

UNIVERSITY NOMINEE
Dr. JAMES KURIEN
Associate Professor, HOD
Department of Statistics
Maharajas's College, Ernakulam
Mail id:jameskurianutl@gmail.com

MEMBER FROM INDUSTRY
Mr. KIRAN GANESH
Assistant SAS Programmer
ICON Clinical Research India Private Limited, Trivandrum
Mail id: kiran.ganesh@iconplc.com

MERITORIOUS ALUMNUS
Mr. CENCYMON M. A.
Data Scientist
Genpact, Germany

SPECIAL INVITEES
SUDHA V.
Assistant Professor and Head
Department of Statistics
Mar Athanasius College, Kothamangalam

SHINY JOHN
Assistant Professor and Head
Department of Computer Science
Mar Athanasius College, Kothamangalam

Dr. NIDHI P RAMESH
Assistant Professor
Department of Statistics
Mar Athanasius College, Kothamangalam 

Hands-on Computer Laboratory Sessions and record works for every course subjects.
In the third semester, students can gain industrial exposure and familiarize themselves with the newest developments in Data Analytics by participating in an Internship Program in a live industry for a minimum of 15 working days, which is reviewed externally by a subject matter expert.
During the fourth semester, an Industrial Visit is intended to provide students with greater clarity on the operations of the company and to equip them with real-world and practical knowledge.
In the fourth semester, an Innovative Course Project, that is crucial to the procedure of collecting, cleaning, processing, analyzing, and interpreting data must be turned in for the improvement of the Statistical and Computer skills. 

1) MATHEMATICS FOR DATA ANALYITCS : https://classroom.google.com/c/NjE3NDYxNzYzMjUy

2) STATISTICS FOR DATA ANALYTICS:  https://classroom.google.com/c/NjE3NDYwNjM1NTY0

3) SURVIVAL ANALYSIS : https://drive.google.com/drive/u/0/folders/1M36-fx75FyjmZg8NZ8oMqmwoRCe-T4Oa4IOe6NTuM5e-l9FRpXgAVE6NQqPuzwGD1hSDrPj0

4) OPTIMIZATION TECHNIQUES : https://drive.google.com/drive/u/0/folders/1xWAAYxo0W2TBBxQgYYK-tazx270yeobYg1TL5kl868WFf9dXCQt-OEzwL614g0IS_6EQBwKh

5) BAYESIAN INFERENCE : https://drive.google.com/drive/u/0/folders/11ovm4GxjW4ft6SIIdF9bfWa2q2TCM7x1eTq-FLzJoWd2KYtanvfadYMPvmROJFpL3QWC7bBP

Hands-on Computer Laboratory Sessions and record works for every course subjects.
In the third semester, students can gain industrial exposure and familiarize themselves with the newest developments in Data Analytics by participating in an Internship Program in a live industry for a minimum of 15 working days, which is reviewed externally by a subject matter expert.
During the fourth semester, an Industrial Visit is intended to provide students with greater clarity on the operations of the company and to equip them with real-world and practical knowledge.
In the fourth semester, an Innovative Course Project, that is crucial to the procedure of collecting, cleaning, processing, analyzing, and interpreting data must be turned in for the improvement of the Statistical and Computer skills. 

Hands-on Computer Laboratory Sessions and record works for every course subjects.
In the third semester, students can gain industrial exposure and familiarize themselves with the newest developments in Data Analytics by participating in an Internship Program in a live industry for a minimum of 15 working days, which is reviewed externally by a subject matter expert.
During the fourth semester, an Industrial Visit is intended to provide students with greater clarity on the operations of the company and to equip them with real-world and practical knowledge.
In the fourth semester, an Innovative Course Project, that is crucial to the procedure of collecting, cleaning, processing, analyzing, and interpreting data must be turned in for the improvement of the Statistical and Computer skills. 

Hands-on Computer Laboratory Sessions and record works for every course subjects.
In the third semester, students can gain industrial exposure and familiarize themselves with the newest developments in Data Analytics by participating in an Internship Program in a live industry for a minimum of 15 working days, which is reviewed externally by a subject matter expert.
During the fourth semester, an Industrial Visit is intended to provide students with greater clarity on the operations of the company and to equip them with real-world and practical knowledge.
In the fourth semester, an Innovative Course Project, that is crucial to the procedure of collecting, cleaning, processing, analyzing, and interpreting data must be turned in for the improvement of the Statistical and Computer skills. 

Hands-on Computer Laboratory Sessions and record works for every course subjects.
In the third semester, students can gain industrial exposure and familiarize themselves with the newest developments in Data Analytics by participating in an Internship Program in a live industry for a minimum of 15 working days, which is reviewed externally by a subject matter expert.
During the fourth semester, an Industrial Visit is intended to provide students with greater clarity on the operations of the company and to equip them with real-world and practical knowledge.
In the fourth semester, an Innovative Course Project, that is crucial to the procedure of collecting, cleaning, processing, analyzing, and interpreting data must be turned in for the improvement of the Statistical and Computer skills.