Department of Computer Science with Data Analytics

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B.Sc  Computer Science with Data Analytics

About the Course

The Department of Computer Science with Data Analytics was established in the year 2022 with the goal of giving students the skills and competences necessary to adapt to a rapidly changing environment as well as to develop a compassionate attitude. With companies having excessive data, the whole process of managing, storing, and interpreting data for useful information is very important but a bit difficult. That is why qualified and experienced data analysts are given the responsibility of doing the same. The Department offers  Computer Science with Data Analytics programme with the sanction strength of UG 40 students. The program also    emphasizes a thorough understanding of the concepts of data analytics and data science and a comprehension of the specialty. The department’s main goal is  to provide its students with top-notch placements, research and teaching opportunities and to expand the boundaries of computer science and automation research. The department  provides a spectrum of basics to advanced mathematical methods and their applications to both conventional and IT industries that enable to tackle emerging problems. The graduates will develop an in-depth understanding of data analytics and the techniques for analysis of quantitative and qualitative data to arrive at solutions. They will be able to identify patterns, predict trends, and analyze data from various sectors such as manufacturing, banking and finance, retail, and healthcare. The academic track of the program is a blend of core and advanced specialist subjects.

Highlight of the programme

  • · Highly Experienced and certified Faculties who alter their knowledge, views, and insights to keep their teaching current, relevant, and engaging for their students.
  • · The curriculum places a strong emphasis on imparting practical knowledge combined with real-world experience and a suitable predisposition toward cutting edge     research and application development in computer science and data analytics that are judged fit for the industrial demands of the twenty-first century.
  • · The curriculum is designed with a proper blend of research and industry-relevant subjects taught through collaborative learning. It has been designed to bridge the     gap between Industry and academics and is meticulously reviewed by many industry experts, academicians and other stakeholders
  • ·  Well-equipped and upgraded laboratories and smart classrooms.
  • ·  Students are instructed to practice in the code development platforms like codechef, Leetcode, hacker Rank etc.. to gain the technical knowledge
  • ·  Students are advised to do certification courses in the platforms like great learning, simplilearn etc.. and MOOC courses like NPTEL, Spoken tutorial etc.
  • ·  Students have to undergo minimum of 2 Value Added Course to help students obtain and develop innovative and creative abilities as well as a more holistic                viewpoint and a better knowledge of contemporary industry concerns.
  • ·  Compulsory project to get the real time exposure.
  • ·  Excellent Library with all relevant books of data science and data analytics
  • ·  Excellent Placement Training from the industry experts
  • ·  Signed an MoU with Vodafone Idea Foundation which provides the free technical course and guidance for the students
  •     Extension Activities – Summer Camp for School Children

Key Expertise Offered

  • Foundation of Data Science
  • Basic Programming Languages (C, Java)
  • Statistical  Programming Languages (R, Python)
  • SQL and NO SQL Data Base
  • Microsoft Excel
  • Linear Algebra for Data Science
  • Statistical Analysis (Descriptive, Inferential, Hypothesis testing)
  • Data Visualization (Power BI, Tableau)
  • Predictive Analysis using R and Python
  • Data Mining and Warehousing
  • Advanced Data Analysis using Big Data Analysis and Machine Learning
  • Essential Data Analyst Soft Skills like communication skills, problem solving abilities and critical thinking

Top 10 Global Data Science Recruiters

  • Google
  • Amazon
  • Microsoft
  • Capgemini
  • Infosys
  • Wipro
  • Cognizant
  • TCS
  • IBM
  • Accenture

Programme Outcome

Upon completion of the programme, Graduates could take roles such as:

  • Data Scientist
  • Data Analyst
  • Data Architect
  • Data Engineer
  • Business Analyst
  • Statistician
  • Database Administrator
  • Data Storyteller
  • Machine Learning Scientist/Engineer
  • Power BI/Tableau Developer