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.


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