Postgraduate Department of Data Analytics

The department of Data Analytics, established in the year 2020, imparts quality education in the field of Data Analytics. The department offers masters programme in Data Analytics and in addition, the department also offers both lecture-based and hands-on lab learning environments where students can develop and apply their skills to complex, real-world datasets to analyze the data analytics problems. The program prepares the students to work in the growing and dynamic field of Data Analytics. Students learn the techniques and tools of analytical decision making and utilize these skills to drive the competitiveness of an organization. Students are exposed to various fields of data analytics modeling as well as courses in the areas Machine learning, Big Data, Natural Language processing, Business Analytics etc.

The Postgraduate Department of Data Analytics envisions achieving excellent standards of quality education using the latest tools, nurturing a collaborative culture, and disseminating customer-oriented innovations to relevant areas of academia and industry to serve the greater good of society.

To provide advanced training in data science and analytics principles and methodologies, and strives to shape highly trained, qualified data analyst who can go on to pursue careers in industry, government or research with ethical and human values.

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. 

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. 

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HOD’s Desk


Dear Parents and Friends,


Warmest regards!

“The expert at anything was once a beginner.” — Helen Hayes

I am happy to welcome each and every one of you to the Department of Data Analytics in the context of Helen Hayes' remarks. Our mission is to provide students with transdisciplinary skills and a thorough understanding of technical and practical knowledge in data science and analytics. We began our journey in 2020.

The field of data science is multidisciplinary, incorporating knowledge from other fields. The unicorn known as the data scientist is required to have a wide range of abilities, including proficiency in statistics, mathematics, machine learning, operations research, data visualization, communication, and domain knowledge. Our program stands out for its interdisciplinary design, teaching you how data science and analytics can enhance decisions at every stage of an organization's value chain. You will also learn how prescriptive analytics techniques turn recommendations into concrete actions, gain a solid understanding of the techniques used to construct these kinds of data-driven models, and gain practical experience with widely used analytics tools.

The master's degree emphasizes the uses of data science and analytics approaches and concepts in problem-solving across a range of business, governmental, and academic sectors. It also offers advanced training in these areas. The essential competencies that are most in-demand in the industry are technical ones, such programming, statistics, operations research, and mathematics. These competencies are intended to be provided by the master's program.

With this curriculum, students are equipped to work in the rapidly expanding and evolving field of data analytics. The methods and resources of analytical decision making will be taught to students, who will use these abilities to boost an organization's competitiveness. Students will take courses in machine learning, big data, natural language processing, business analytics, and other related topics in addition to being exposed to different domains of data analytics modeling. Students can apply their learning to real-world challenges by using applied learning strategies including job placement and problem-based learning.

Since they can use the vast amount and variety of data that is readily available in today's digital environment to support corporate strategy, improve customer experience, and quickly address real-world problems, data analytics experts are in high demand right now.

I am incredibly happy to hold the position of Head of the Department of Data Analytics. I cordially invite you to join us and engage with top academics and professionals while learning about the exciting field of data science and analytics at this dynamic university.

We are appreciative of your visit.

 

Programme Offered

M. Sc Data Analytics

Application Method:
Online

No of Intakes:
15

Eligibility:
B Sc Mathematics/Computer Science or Equivalent

Self financing or Aided:
Aided

Phone:

Email:
dataanalytics@macollege.ac.in

Course Duration : 2 Years

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