Semester 3 of BCom (Business Analytics)

Digital marketing course encompasses the tools and technologies required to help a business grow itself with the help of digital marketing. The purpose of digital marketing is to build a digital campaign to promote a business on the internet and social media platforms.


Course Summary

Advanced accounting is 5 credit course. Preparing final accounts of partnership firm on admission, retirement, death and dissolution of a partnership firm & Preparing Company final accounts as per Schedule III of the companies act, 2013 including various accounting entities on issue of share and debenture are covered in the syllabus.


Course Overview

Academic year - 2025 -26

Course code

PRSK

Course type

SEC – 1

Course Title

PROFESSIONAL SKILLS

Teaching hours per week – Theory

 2 hours (2 credits)

Credits

2

1.   Instructor- in-charge: Shivakumar Reddy

E-mail ID: shivakumar@stmaryscollege.in


 

About the instructor

Shivakumar Reddy joined in June 2024 as an Assistant Professor, bringing a wealth of knowledge and passion to the fields of Media Laws and Ethics and Development Communication. With a robust academic background and a keen interest in the evolving dynamics of digital culture and political communication.

Currently pursuing his PhD at Andhra University, Professor Reddy's research is at the cutting edge of contemporary media studies. His focus on digital culture and political communication addresses the critical intersections of technology, society, and governance. This research is not only timely but also crucial in understanding the rapid changes in how information is disseminated and consumed in the digital age.


4.     Course Details

Course Summary

One of the significant outcomes of Higher Education is to prepare for entering the job or employment market. Besides the knowledge and skill set required for a particular job or occupation, professional skills are also required to be gainfully employed and to enjoy a successful and satisfying life. Professional skills are part of life skills. We should be able to demonstrate professional skills involving the use of intuitive, logical critical thinking, communication and interpersonal skills which are not limited to cognitive and creative skills. These skills, behaviour, and quality of output enhance employability.

Career skills empower us with the ability to prepare appropriate résumés, address the necessary gaps for facing interviews, and actively and effectively participate in group discussions thereof. It is also of significant importance that we possess the know-how to explore career opportunities for ourselves, recognizing our innate strengths and weaknesses.
We must be well prepared to take on new challenges and opportunities. With the increasing use of technology in the way we live, learn and work, we must be able to utilize basic computing concepts and also have and espouse excellently. Team skills, collaborating and working together can assist in resolving complex problems, which allow us or offer us the opportunity to articulate new ideas and perspectives. It further allows us to design, develop, problem-solve, and adapt to situations based on experience and skills.

The Course on Professional Skills is divided into two parts: A. Career Skills and, B. Team Skills

Course Objectives

The objectives are to help learners

·       Acquire career skills and fully pursue to partake in a successful career

·       Prepare a good résumé

·       Prepare for interviews and group discussions

·       Explore desired career opportunities in the employment market in consideration of an individual SWOT (Strengths, Weaknesses, Opportunities, and Threats).

·       Understand the significance of team skills

·       Acquire team skills

·       Design, develop, and adapt to situations as an individual and as a team member.

Course Outcomes

Learners shall be able to:

CO 1: Prepare their résumé on an appropriate template without grammatical and other errors and using proper syntax.

CO 2: Participate in a simulated interview.

CO 3: Actively participate in group discussions towards gainful employment.

CO 4: Capture a self-interview simulation video regarding the job role concerned.

CO 5: Enlist the common errors generally made by candidates in an interview.

CO 6: Perform appropriately and effectively in group discussions.

CO 7: Explore sources (online/offline) of career opportunities.

CO 8: Identify career opportunities in consideration of personal potential and aspirations.

CO 9: Demonstrate a set of cognitive skills such as critical thinking, problem-solving and

           the ability to learn for smooth and efficient functioning at a workplace.

CO 10: Demonstrate a set of non-cognitive skills such as empathy, creativity, teamwork,

          and collaboration, for smooth and efficient functioning at a workplace.


The course focuses on building a strong foundation in the LSRW skills through a blend of classic poetry, impactful prose, and phonetic training. Students engage with works like O Captain! My Captain by Walt Whitman, The Solitary Reaper by William Wordsworth, and La Belle Dame sans Merci by John Keats, exploring their literary devices and contextual meanings. Prose texts such as Mallika Srinivasan, How to Live to Be 200, and Ilyas offer diverse perspectives on success, satire, and morality. Pronunciation exercises cover monophthongs, diphthongs, and consonant sounds, while vocabulary development includes onomatopoeic words, word origins, and clichés. Grammar instruction focuses on punctuation, subject-verb agreement, and prepositional phrases. These units also combine creative speaking tasks like role plays, monologues, and story narration, alongside writing practice in note-making, paragraph expansion, and composing notices and circulars. Through additional readings, students gain insights into real-world themes, linking classroom learning to contemporary contexts.


Students will get to know the origin and history of Statistics. And understand the fundamental concepts of  business statistics and its applications  in business decision making. Learn the concepts of Central Tendency, measures of dispersion, skewness and kurtosis and correlation.

This course teaches the basics of Data Analytics Modelling by introducing students to identifying the correct data that is important for decision making in business and how to clean, extract, transform and load the data for performing Analysis. It also teaches the concepts related to data warehousing and SQL