Bachelor of Vocation in Analytics B.Voc.

Bachelor of Vocation in Analytics B.Voc.

Entry Year

2020

Qualification

B.Voc.

Duration

3 years

Overview

About the Program

Students undertaking the B.Voc program in Analytics at Mount Carmel College is a three years UGC Sponsored Vocation (Degree) Course in Analytics. The course specifically relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. In today’s world there is no aspect of either business or technology that can stand on its own without Analytics. The program is designed with inputs from Industry leaders to provide a broad spectrum of study and understanding. Furthermore, as organizations may apply analytics to business data, the program ensures that students are able to improve business performance. By putting in a conscious effort to impart knowledge about the field by reputed professors and lecturers, this program is designed to foster a culture for students’ core and programming skills to be enhanced. Through Industry Experts, we ensure that students understanding is amplified, in addition to this, the skill component is complemented by exposing students to hands-on sessions in the lab. These papers are spread across in a way to enhance the knowledge of students in a phased and logical manner. Through rigorous evaluation patterns, our students are encouraged to put their skills to use and venture into the field of Analytics by enhancing their critical thinking abilities and sensibilities. On acquiring knowledge of the qualitative and quantitative techniques as well as gaining an in-depth understanding of the field, Graduates of this degree will be able to demonstrate their skills in Econometrics, Data Visualization, Data Mining, DBMS, etc. The Curricular and Extracurricular activities are designed in a way to ensure that the students receive a holistic understanding through the curriculum.

Head of Department

Dr. (Mrs) Lakshmi S.K.
Assoc. Professor & Head M.Sc., Ph.D.

Vision

  • To impart skill-based education
  • To empower women with analytical and logical skills

Mission

  • To inculcate a scientific temper in students
  • To promote amongst students’ analytical skills in thought and writing
  • To work towards the creation of a strong and confident women workforce

Objectives

The course is designed with inputs from Industry leaders to provide a broad spectrum of study and understanding.

Program Specifications

General Structure

1. Basic Skills

Mathematics, Statistics, Business Communication, Economics, Principles of Finance, and Business Environment

2. Core Skills

Data Warehousing and Business Intelligence, Data Mining, Data Visualization, Digital Analytics, Applications of Analytics in Finance, FMCG and Retail, Healthcare and Pharma

3. Programming Skills

MS Excel, C, R, Python, MySQL

Program Requirements

Eligibility

Any student who has passed 10+2 with an aggregate of 60% with Mathematics/Statistics as one of the subjects in Pre-University or an equivalent course is eligible to take up this program.

Testing and Evaluation

  • Semesters I to IV – 5 papers each
  • Semester V – 4 papers and project
  • Semester VI – 3 papers and project

Most of the papers are handled by guest/visiting faculty from organisations like Dell, Accenture, Genpact, etc.

Papers like Econometrics, Data Visualization, Data Mining, DBMS, Analytics for Healthcare, Retail, BFSI, etc. are taught as a combination of classroom lectures and lab sessions. The assessment for the same involves a component which has to be answered using software.

Each paper carries 100 marks – End Semester Examination – 50 marks and Continuous Internal Assessment – 50 marks.

The students are continuously assessed throughout a semester through presentations, quizzes, assignments, etc.

Careers and Highlights

The students are provided with an opportunity to intern in different companies. The program equips the students with enough tools to make a mark as an Analyst/ Data Scientist. The program enables the student to be an industry ready person at the end of three years.

Our students get placed in companies like Nielsen, Ernst and Young, Ducker Worldwide, Global Solutions, JP Morgan and Chase, etc.

Overview

Overview

About the Program

Students undertaking the B.Voc program in Analytics at Mount Carmel College is a three years UGC Sponsored Vocation (Degree) Course in Analytics. The course specifically relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. In today’s world there is no aspect of either business or technology that can stand on its own without Analytics. The program is designed with inputs from Industry leaders to provide a broad spectrum of study and understanding. Furthermore, as organizations may apply analytics to business data, the program ensures that students are able to improve business performance. By putting in a conscious effort to impart knowledge about the field by reputed professors and lecturers, this program is designed to foster a culture for students’ core and programming skills to be enhanced. Through Industry Experts, we ensure that students understanding is amplified, in addition to this, the skill component is complemented by exposing students to hands-on sessions in the lab. These papers are spread across in a way to enhance the knowledge of students in a phased and logical manner. Through rigorous evaluation patterns, our students are encouraged to put their skills to use and venture into the field of Analytics by enhancing their critical thinking abilities and sensibilities. On acquiring knowledge of the qualitative and quantitative techniques as well as gaining an in-depth understanding of the field, Graduates of this degree will be able to demonstrate their skills in Econometrics, Data Visualization, Data Mining, DBMS, etc. The Curricular and Extracurricular activities are designed in a way to ensure that the students receive a holistic understanding through the curriculum.

Head of Department

Dr. (Mrs) Lakshmi S.K.
Assoc. Professor & Head M.Sc., Ph.D.

Vision

  • To impart skill-based education
  • To empower women with analytical and logical skills

Mission

  • To inculcate a scientific temper in students
  • To promote amongst students’ analytical skills in thought and writing
  • To work towards the creation of a strong and confident women workforce

Objectives

The course is designed with inputs from Industry leaders to provide a broad spectrum of study and understanding.

Program Specifications

Program Specifications

General Structure

1. Basic Skills

Mathematics, Statistics, Business Communication, Economics, Principles of Finance, and Business Environment

2. Core Skills

Data Warehousing and Business Intelligence, Data Mining, Data Visualization, Digital Analytics, Applications of Analytics in Finance, FMCG and Retail, Healthcare and Pharma

3. Programming Skills

MS Excel, C, R, Python, MySQL

Program Requirements

Eligibility

Any student who has passed 10+2 with an aggregate of 60% with Mathematics/Statistics as one of the subjects in Pre-University or an equivalent course is eligible to take up this program.

Testing and Evaluation

  • Semesters I to IV – 5 papers each
  • Semester V – 4 papers and project
  • Semester VI – 3 papers and project

Most of the papers are handled by guest/visiting faculty from organisations like Dell, Accenture, Genpact, etc.

Papers like Econometrics, Data Visualization, Data Mining, DBMS, Analytics for Healthcare, Retail, BFSI, etc. are taught as a combination of classroom lectures and lab sessions. The assessment for the same involves a component which has to be answered using software.

Each paper carries 100 marks – End Semester Examination – 50 marks and Continuous Internal Assessment – 50 marks.

The students are continuously assessed throughout a semester through presentations, quizzes, assignments, etc.

Careers and Highlights

Careers and Highlights

The students are provided with an opportunity to intern in different companies. The program equips the students with enough tools to make a mark as an Analyst/ Data Scientist. The program enables the student to be an industry ready person at the end of three years.

Our students get placed in companies like Nielsen, Ernst and Young, Ducker Worldwide, Global Solutions, JP Morgan and Chase, etc.