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Department: Statistics

Statistics

Welcome to the vibrant Postgraduate Department of Statistics at WMO Arts and Science College, nestled in the serene landscapes of Muttil, Wayanad, Kerala. As stewards of academic excellence, we are excited to introduce you to our dynamic program with a unique specialisation in Machine Learning. Explore the intersection of statistical sciences and cutting-edge technology while honing your skills through hands-on practice with Microsoft Excel, SPSS, R, and Python programming. Immerse yourself in real-world data analysis experiences through project work, and elevate your career prospects with internship opportunities and dedicated placement assistance.

Discover Our Department:

Our department stands as a beacon of statistical innovation, fostering an environment where theory meets practical application. As you embark on your postgraduate journey, you'll find a commitment to excellence, a faculty dedicated to your success, and a curriculum designed to propel you into the exciting realms of Machine Learning.

Key Features:

        1. Machine Learning Specialization:

Engage in a specialised curriculum that places Machine Learning at the forefront. From predictive modelling to artificial intelligence, our program equips you with the skills to navigate the evolving landscape of data science.

  1. Practical Application with Industry Tools:

Gain proficiency in industry-standard tools such as Microsoft Excel, SPSS, R, and Python programming. Our hands-on approach ensures that you are not only well-versed in statistical theories but also equipped with the practical skills demanded by the industry.

  1. Real Data Analysis Experiences:

Immerse yourself in the world of real data through project work. Apply statistical methods and machine learning algorithms to solve authentic challenges, preparing you for the complexities of data analysis in professional settings.

  1. Internships and Placement Assistance:

Elevate your learning experience with internship opportunities that provide invaluable industry exposure. Our dedicated placement assistance ensures that you are well-positioned to kickstart your career upon graduation.

Why Choose Us?

  • Holistic Learning: Our holistic approach combines theoretical knowledge with hands-on experience, empowering you with a comprehensive skill set that is highly valued in the job market.
  • Faculty Excellence: Learn from a distinguished faculty with expertise not only in statistical sciences but also in the practical applications of machine learning. Benefit from mentorship that goes beyond the classroom.
  • Career Readiness: We are committed to your success. Our program is designed to make you not just academically accomplished but also career-ready. Internships and placement assistance are integral to this commitment.

Embark on Your Statistical Journey:

The Postgraduate Department of Statistics at WMO Arts and Science College invites you to embark on a transformative journey where statistical expertise meets the power of machine learning. Explore the beauty of Wayanad while immersing yourself in a world of data-driven discovery. Join us in shaping the future of statistics and machine learning. Welcome to an academic experience that goes beyond the ordinary!

Courses offered

MSc Statistics (SF)

Sanctioned strength                              :  12

Program and course outcome

Our Faculty

  • Mr. Ranoop A R MSc., SET Asst. Professor(SF) + View Profile
  • Ms. Aleena Kurian M.Sc. Asst. Professor(SF)
  • Dr. Hamza K.K MSc, PhD Asst. Professor (SF)

Activities

Activities of Statistics Department

Activities of Statistics Department

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Downloads

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Virtual Classroom

Annual reports

Sl.No

Events

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01

ANNUAL REPORT 2023-24  View 

02

ANNUAL REPORT 2022-23

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03

ANNUAL REPORT 2021-22

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04

ANNUAL REPORT 2020-21

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05

ANNUAL REPORT 2019-20

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06

ANNUAL REPORT 2018-19

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07

ANNUAL REPORT 2017-18

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Syllabus

Sl.No.

Name

Download

01

MSc. Statistics Syllabus

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Certificate Courses

Sl.No.

Name

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01

Statistical Package for Social Sciences (SPSS)

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02

Advanced Programming in R

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