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B. Tech. in Information Technology – Data Analytics
Overview
The B. Tech. in Information Technology with a specialization in Data Analytics is designed to equip students with a robust IT foundation and specialized knowledge in data analysis. The program emphasizes key principles, tools, and techniques required to extract meaningful insights from data and support informed decision-making.
Through an industry-relevant curriculum, students gain hands-on experience in working with real-world datasets, performing statistical analysis, and creating effective data visualizations. The practical approach enables them to solve complex problems and prepares them to meet the growing demand for skilled data professionals across various sectors. Graduates are well-positioned to contribute effectively to the evolving, data-driven IT landscape.
Duration
B. Tech. (Regular): Four Years / Eight Semesters
B. Tech. (Lateral): Three Years / Six Semesters
Commence of the course
Course Duration
Four Years
Mode of Study
Eligibility
For Regular
10+2 from recognized Board / Council with Minimum 50% marks in Physics & Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational Subject.
Score in JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; AUEET (Alliance Undergraduate Engineering Entrance Test); or any other State-Level engineering entrance examination.
For Lateral Entry
Passed Diploma examination with at least 50% marks in relevant branch of Engineering and Technology.
Passed B. Sc. Degree from a recognized University as defined by UGC, with at least 50% marks & passed 10+2 examination with Mathematics as a subject.
A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST.
Programme Features
The program offers a strong foundation in software concepts and programming essentials, equipping students with the technical skills required for advanced analytics.
It provides practical training in business intelligence using IBM Cognos, enabling strategic, data-driven decision-making.
Students gain expertise in data visualization with R, Python, and IBM Watson Studio, creating impactful and insightful visual representations of complex datasets.
The curriculum also covers predictive modelling through IBM SPSS Modeler, empowering students to develop accurate forecasting solutions, and text analytics for extracting meaningful insights from unstructured data.
Additionally, the program incorporates cutting-edge generative AI using IBM WatsonX, preparing graduates to design innovative AI-powered solutions for real-world applications.
Certifications are offered through MoUs by reputable organisations.
Advanced lab facilities featuring centres of excellence with Apple and CoE.
Hands-on experience in real-time problem-solving using Al and ML.
Focus on innovation, operational efficiency, and enterprise data optimisation.
Skill certifications from platforms like Google and Meta via Coursera.
Access to high-performance computing units for large-scale data processing.
Training in recent trends and repositories in data analytics tools.
Program Structure
Entry Level Job Positions in the Industry on Graduation
- Data Analyst
- Business Intelligence (BI) Analyst
- Data Visualization Analyst
- Data Engineer
- ETL Developer
- Data Pipeline Engineer
- Data Integration Engineer
- Big Data Developer
- Decision Support Analyst
- SQL Developer
FAQ's
Yes, the programme has collaborations with leading data-driven companies for projects, internships, and live case studies.
Yes, Python, R, SQL, and other programming languages are integral to the curriculum.
Yes, students analyse real datasets and work on live industry projects to gain practical experience.
Finance, healthcare, retail, e-commerce, telecom, IT services, and consulting firms actively hire data analytics professionals.
Yes, students learn Tableau, Power BI, and other visualisation tools for effective data-driven storytelling.
Students use AI/ML algorithms, predictive modelling, and cloud platforms to analyse, process, and deploy data-driven solutions.
Roles include Data Analyst, Business Analyst, Data Scientist, BI Developer, Machine Learning Engineer, and Analytics Consultant.
Yes, the programme emphasises predictive modelling, BI dashboards, and decision support systems.
Students learn to extract insights, improve decision-making, and optimise operations in multiple industries using data analytics.
Graduates can become Data Analysts, Data Scientists, BI Developers, Machine Learning Engineers, or Analytics Consultants in India or abroad.
Yes, students gain hands-on experience through internships, live projects, and collaborations with industry partners.
Skills include Python, R, SQL, Tableau, Power BI, predictive modelling, machine learning, and cloud-based analytics that are highly demanded by employers today.
Through international certifications, industry projects, AI/ML integration, and exposure to global analytics standards, students excel nationally and globally.
Students work on live analytics projects, participate in hackathons, and engage with industry mentors.
Data analytics labs, cloud computing hubs, high-performance computing systems, and collaborative workspaces support students' education at Alliance University.
Contact for Admissions
-
Call Us+91 96060 48544, 96200 09825,
080 4619 9049 -
Email Usbtech@alliance.edu.in
schools
- Alliance School of Business
- Alliance Ascent College
- Alliance School of Management and Technology
- Alliance Global Business School
- Alliance School of Advanced Computing
- Alliance School of Applied Engineering
- Alliance School of Law
- Centre of Excellence in Public Policy, Sustainability and ESG Research
- Alliance School of Design
schools
- Alliance Global Design School
- Alliance School of Economics
- Alliance School of Liberal Arts and Humanities
- Alliance School of Sciences
- Alliance School of Performing, Visual and Creative Arts
- Centre of Excellence in Indian Knowledge System
- Alliance School of Aviation Studies
- Faculty of Doctoral Studies
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