Department of Data Science

Department of Data Science

Every day, through various means of our lifestyle, a tremendous amount of data is generated. When you buy something from your local grocery store, somewhere in this world, someone keeps track of what you have purchased and in which quantity you have purchased.

Let's say you are withdrawing money from ATM for monthly expenditure. You might withdraw various amounts of cash through multiple ATMs at different locations. ATMs of these Banks will generate data to manage your bank account correctly. On your social media page, you are clicking the 'Like' button for the singer you like; on your browser, you are surfing through various tutorial videos in a video uploading site – all these activities are creating data. This data can be investigated and can be organized, and through careful analysis, it will give a clearer picture of what you do and what might be offered to you to enrich your daily life.

This is what data science is about, to extract meaningful interpretations from the data. The insight gained through the processing of the data using data science is meant for helping our decision-making capabilities. It has various applications; for example, helps various industries to cater to us better and helping authorities to nab criminals, and learn cricket in a better way.

B. Voc. in data science is a three years undergraduate programme that aims at imparting practical and industry-relevant skills in the domain of data analysis and artificial intelligence. The focus is more on imparting and emphasizing hands-on practical expertise rather than going for more inclination towards theoretical aspects.

On Job Training on following job roles :

Semester Job
Sem-I Technical Writer (SSC/Q0505)
Sem-II Junior Software Developer (SSC/Q0508)
Sem-III Data Associate (SSC/Q0401)
Sem-IV Data Quality Analyst (SSC/Q8101)
Sem-V Visualization Specialist (SSC/Q8103)
Sem-VI Applied Scientist (SSC/Q8105)

Top Recruiting areas

  • Exploratory Data Analysis
  • Inferential Statistics
  • Model building and fine tuning
  • Natural Language Processing
  • Supervised and unsupervised learning

Job Positions

  • Application developer
  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Business Analyst