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B.Sc. (Hons.) Data Science Image B.Sc. (Hons.) Data Science Image

B.Sc. (Hons.) Data Science

B.Sc. (Hons.) Data Science

Why study Data Science in USCI?

Data Science is a field of studying data to design new predictive model by creating new processes for production using prototypes, algorithms and custom analysis.  The primary goals of data science is to predict the unknown features of the data by querying the data using appropriate algorithms and statistical models.  Data Scientists builds system framework for arranging and automating data using tools.

A data scientist must an expert who have knowledge on foundations of mathematics and statistics, artificial intelligence, machine learning, software development processes, programming skills, data mining and data warehousing, database skills, data analysis and object-oriented programming concepts etc.

Benefits of studying Data Science

Almost all organizations have adopted data science for their strategic plan to enhance their business decisions, product designs, forecasting future business values, market conditions etc., As per statistical survey data available, the demand for data scientists is consistently growing by 29% every year and there is a possibility of shortfall of 14%, meeting this demand.  Data Scientists earn an average annual salary between $105,750 and $180,250.

Job Opportunities and Role for Data Science

An expert in data science may be considered as Data Scientist, Data Engineer, Applications Data Architect, Enterprise Data Architect, Infrastructure Architect, Business Intelligence (BI) Developer, Statistician and Data Analyst.

Tentative List of Subjects for B.Sc. (Hons.) Data Science

Foundational and Skill Enhancement Subjects Programme Core Courses Programme Elective Courses
Basic English Fundamentals of Computing Big Data Architecture and Ecosystem
Mathematical Foundations for Computer Science Programming in C Big Data Technologies using Hadoop
Fundamental of Probability Problem Solving and Programming using Python Predictive Analytics
Basic Statistics Data Structures Data Analysis using SPSS
Environmental Studies Fundamentals of Digital Computers Apache Spark and Scala
Ethics and Values Design and Analysis of Algorithms Data Security and Compliance
Discrete Mathematics Data Base Management Systems Cloud Data Management
Numerical Methods Oops using Python Business Intelligence
Linear Algebra Software Engineering Methodologies Data Visualization using Tableau
Operations Research Data Mining and Analytics Text Analytics
Communication Skill Introduction to Machine learning Time Series Analysis
Foreign Language Big Data Analytics Marketing and Retail Analytics
Principles of Management Research report writing and Presentation Financial Analytics
  R Programming – Fundamentals Supply Chain and Logistics Analytics
  Advanced R Programming Internet of things for Data Analytic
  Data Visualization Econometrics
  Operating Systems  
  Computer Networks  
  Cloud Computing  
  Natural Language Processing  
  Social Network Analysis  
  Open Source Technologies  
  Data Analysis using MS Excel  
  Programming in Java  
  Web Design  
  Internship  
  Capstone Project  

 

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