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The MCA in Data Science is a comprehensive, multidisciplinary program that focuses on the intersection of computer science, mathematics, and statistics to address real-world problems through data-driven solutions. It covers a wide range of topics, including data mining, machine learning, data visualization, artificial intelligence, big data technologies, and programming languages like Python.

With the growing demand for data-driven insights across industries like finance, healthcare, e-commerce, and technology, an MCA in Data Science opens up numerous career opportunities in roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst. This program not only offers technical expertise but also prepares students for leadership roles in the evolving field of data science.

Duration

Two Years / Four Semesters

Why Choose
MCA - Data Science
at Alliance University?
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Advanced Computational & Algorithmic Proficiency
Advanced problem-solving and programming skills.
Specialized Domain Mastery
In-depth domain knowledge.
Professional Discourse & Presentation Excellence
Effective communication and presentation proficiency.
Cross-Domain Innovation & Proof of Concept
Algorithmic expertise and proof of concept development across diverse technological domains.
Knowledge Creation & Intellectual Leadership
Knowledge creation and innovation.
Technological Solutions for Social Impact
Societal problem-solving with technology.
Strategic SDG & Sustainability Contribution
Contribution to sustainable development goals (SDGs).

Course Category
Discrete Structures PP
Communication and Life Skills - I PR
Problem Solving through Aptitude - I PR
Mastering Python: From Basics to Advanced PP
Advanced Data Science Techniques PP
Advanced UI and UX Design for Developers PP
Front-End Frameworks and Technologies PR

Course Category
Applied Statistics PC
Communication and Life Skills - II PC
Problem Solving through Aptitude - II PC
Advanced Data Structures and Algorithms PC
Java Object-Oriented Design and Programming PC
Database Design and Implementation PC
Machine Learning Theory and Practice PE

Course Category
Web Technologies PE
Quality Assurance in Software Development PE
Artificial Intelligence: Concepts and Applications PE
Computer Networks and Communications PC
Engineering Principles of Software PC
Data Mining and Warehousing PE
Professional Skill Development PC

Course Category
Industry Internship Program IIP
Professional Ethics T
Research Methodology and Ethical Content Writing P+T
Internet Crime and Cyber Security P+T

Course Categories:

PC – Program Core || ME – Minor Electives || SEC – Skill Enhancement Courses || DI/CP – Dissertation / Capstone Project || IIP – Industry Internship Program

Minors

The Program Elective in the Master of Computer Applications (MCA) programme with specializations in Data Science, General, Generative AI, and Game Designing is designed to provide focused domain expertise beyond the core and chosen specialization, enabling students to build multi-dimensional competencies aligned with evolving industry demands.

Structured as a flexible academic framework, Minor Pathways allow students to personalize their learning journey by selecting interdisciplinary tracks that complement their career aspirations and specialization areas. This approach empowers learners to explore emerging technologies and cross-domain skills, enhancing both depth and versatility.

Students can choose from a diverse portfolio of minor tracks such as Artificial Intelligence, Cyber Security, Data Science, Cloud Computing, Full Stack Development, Internet of Things (IoT), Business Analytics, UI/UX Design, and Software Product Development, reflecting the dynamic landscape of computing and digital innovation.

The Minor Pathways framework emphasizes:

  • Specialized skill development in high-demand and cutting-edge domains
  • Hands-on learning through labs, projects, and industry-aligned tools
  • Integration of certifications and real-world applications
  • Enhanced employability through domain-focused expertise

By complementing the Program Core and specialization, the Minor Pathways enable students to graduate with interdisciplinary knowledge and practical skills, positioning them as adaptable, future-ready professionals capable of thriving in advanced technical roles, innovation-driven environments, and emerging technology ecosystems.

Minors List:

  • Aeronautics
  • Astronautics
  • Unmanned Aerial Vehicles (UAV)
  • Avionics
  • Structural Engineering
  • Geoenvironmental & Infrastructure Engineering
  • Nature Based Solutions
  • Sustainable Technology
  • Smart Systems
  • Game Development
  • Business Systems
  • Quantum Computing
  • Data Science
  • Software Product Development
  • Artificial Intelligence & Futuristic Technologies
  • Artificial Intelligence & Machine Learning
  • Cyber Security
  • iOS Application Development
  • Data Engineering
  • Full Stack Development
  • Cloud Computing
  • Natural Language Processing and Text Analytics Systems
  • Computer Vision and Image Analysis
  • AI in Autonomous Systems
  • Blockchain Technologies
  • Internet of Things
  • DevOps
  • Immersive Technology
  • Advanced AI and Blockchain
  • AI for Healthcare and Life Sciences
  • AI for Robotics and Automation
  • Cybersecurity and Privacy in AI
  • Data Analytics
  • Embedded System and IoT
  • Next Generation Wireless Communication Systems
  • VLSI Design
  • Bio Medical Engineering
  • Automotive Electronics
  • Semiconductor Technology
  • Electric Vehicle Technology
  • Energy Management and Audit
  • Smart Grid and E-Mobility
  • Green Technology
  • Robotics and Automation
  • Smart Manufacturing Technology
  • Performing Arts and Creative Technologies
  • Business Studies
  • Computer Science
  • Data Science
  • Economics
  • Fine Arts
  • Literary & Cultural Studies
  • Media & Film Studies
  • Political Science
  • Psychology
  • Sociology
  • Chemistry
  • International Relations
  • Mathematics
  • Philosophy
  • Physics
  • Public Policy
The Industry Certifications component of the MCA programme is a strategic differentiator, designed to seamlessly bridge academic learning with real-world industry expectations. By integrating globally relevant, skill-driven certifications into the curriculum, the programme enables students to gain industry-validated expertise that enhances both competence and career readiness.

Carefully aligned with emerging technology domains, the programme offers a curated portfolio of certifications:

MongoDB Database Administrator
Equips students with advanced skills in NoSQL database management, including data modeling, indexing, performance optimization, backup, and large-scale data handling—preparing them for roles in data engineering, backend systems, and database administration.

Salesforce AI Associate
Introduces students to AI-powered enterprise solutions within the Salesforce ecosystem, covering automation, intelligent CRM, and data-driven decision-making, with strong relevance to real-world business applications.

UiPath – Automation Developer Associate
Focuses on Robotic Process Automation (RPA), enabling students to design and deploy automation workflows, integrate systems, and optimize business processes—key to digital transformation and automation-driven roles.

A distinctive feature of this framework is its flexible dual-pathway model:
a) Direct Certification Pathway – Students can pursue global certifications, earning industry recognition along with academic credit
b) Academic Evaluation Pathway – A structured alternative ensures comprehensive assessment through internal and semester evaluations

The Industry Certifications framework emphasizes:
a) Alignment with global industry standards and emerging technologies
b) Hands-on, application-focused learning
c) Enhanced employability and competitive advantage
d) Continuous upskilling and lifelong learning mindset

By embedding certifications within the academic structure, the programme ensures that graduates are not only academically strong but also industry-validated professionals, ready to excel in a rapidly evolving and innovation-driven digital ecosystem.
PEO (Program Educational Objectives)

MCA: Program Educational Objectives (MCA General)
Apply skills in software development, including the ability to design, implement, and test complex software systems and applications
Adaptable to emerging technologies and methodologies, including the ability to learn and apply new tools and techniques as the field of computer applications evolves.

Program Educational Objectives (MCA Specialization in Generative AI)
Apply generative AI algorithms and methodologies to a wide range of applications, such as image generation, natural language processing, audio synthesis, and creative content generation.
Create innovative solutions using novel generative AI algorithms, by developing advanced AI-driven systems that push the boundaries of generative modeling, and contributing to the advancement of the field through research and development.

Program Educational Objectives (MCA Specialization in Game Development)
Critically evaluate the quality, usability, and entertainment value of games, assess player feedback, and make informed decisions regarding game design iterations, improvements, and refinements.
Apply creativity and innovation in designing and developing original games, creating compelling narratives, characters, and game worlds, and contributing to the advancement of the gaming industry through the creation of innovative game experiences.

Program Educational Objectives (MCA Specialization in Data Science)
Analyze data to extract meaningful insights, identify patterns, trends, and anomalies, and make data-driven decisions using exploratory data analysis, statistical techniques, and machine learning models
Create innovative solutions to design data science projects, develop novel algorithms and methodologies, and contribute to the advancement of the field through research and development.

PSO (Program Specific Outcomes)

Program Specific Outcomes (MCA General)
Effectively manage software development projects throughout the entire lifecycle, including project planning, scheduling, resource allocation, risk management, and project documentation.
Develop innovative software solutions that address complex computational problems, incorporating advanced algorithms and technologies.

Program Specific Outcomes (MCA Specialization with Generative AI)
Effectively manage software development projects throughout the entire lifecycle, including project planning, scheduling, resource allocation, risk management, and project documentation.
Develop innovative software solutions that address complex computational problems, incorporating advanced algorithms and technologies.

Program Specific Outcomes (MCA Specialization with Game Development)
Construct game levels, puzzles, and challenges that balance difficulty and enjoyment.
Assess the impact of monetization strategies on player engagement and revenue generation.

Program Specific Outcomes (MCA Specialization with Data Science)
Assess the quality of data and identify potential biases or inconsistencies.
Develop novel algorithms or techniques to extract insights from complex data sets.

PO (Program Outcomes)

Disciplinary/Interdisciplinary Knowledge:
Apply comprehensive interdisciplinary knowledge, practical skills, and entrepreneurial mindset to address diverse challenges and innovate in chosen fields, fostering adaptability and problem-solving capacity beyond to multidisciplinary field

Critical Thinking:
Apply critical thinking skills to analyze, evaluate, and synthesize diverse information, arguments, and evidence to formulate coherent arguments, identify logical flaws, and draw valid conclusions supported by evidence.

Communication Skills:
Apply Effectively communicate complex information with clarity and sensitivity through attentive listening, analytical reading, precise writing, articulate oral expression, confident sharing of views, construction of logical arguments using appropriate technical language, and respectful language inclusive of diverse groups.

Research-Related Skills:
Demonstrate proficiency in observing, questioning, problematizing, synthesizing, formulating hypotheses, designing methodologies, employing analytical tools, executing experiments ethically, and reporting findings.

Coordinating/Collaborating with each other:
Collaborate respectfully within diverse teams, to foster cooperation and efficiently contribute towards common goals.

Complex Problem Solving:
Solve different kinds of problems in familiar and non -familiar contexts and apply the learning to real-life situations.

Analytical reasoning/ thinking:
Developing critical thinking skills to assess evidence reliability, detect logical fallacies, analyze diverse data, draw valid conclusions, and effectively address opposing viewpoints.

Leadership Readiness/qualities:
Formulating an inspiring vision, assembling a capable team, and employing effective management to navigate towards organizational goals while motivating and engaging team members with the vision.

Learning how to learn skills:
Developing lifelong learning skills for personal, professional, and societal adaptation, encompassing self-directed learning, resource identification, organizational and time management, and fostering a proactive attitude towards continuous development.

Digital and Technological Skills:
Utilizing ICT for diverse learning and work scenarios, including accessing, evaluating, and employing various information sources, along with utilizing appropriate software for data analysis.

Activity Points

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Program Core

The Program Core of the Master of Computer Applications (MCA) programme with specializations in Data Science, General, Generative AI, and Game Designing forms the intellectual foundation of the curriculum, delivering advanced computing excellence with strong industry alignment.

Designed to go beyond fundamentals, the Program Core equips students with the ability to analyze complex problems, architect scalable systems, and develop high-performance applications in today’s technology-driven landscape. The curriculum integrates advanced subjects such as Data Structures & Algorithms, Database Management Systems, Operating Systems, Computer Networks, Software Engineering, Cloud Computing, and Advanced Programming, ensuring a seamless transition from conceptual depth to real-world application.

Built on a framework of rigor, relevance, and innovation, the Program Core emphasizes:

a) Advanced problem-solving and computational thinking
b) Robust system design and full-cycle software development
c) Scalability, performance optimization, and efficiency
d) Adoption of modern tools, platforms, and emerging technologies

Ability Enhancement Courses (AEC)

The Ability Enhancement Courses (AECs) in the Master of Computer Applications (MCA) programme with specializations in Data Science, General, Generative AI, and Game Designing are designed to develop essential professional, cognitive, and life skills that complement technical expertise and enhance overall career readiness.

These courses focus on building communication proficiency, analytical thinking, and problem-solving capabilities, enabling students to perform effectively in dynamic academic and professional environments. Delivered through interactive and application-oriented learning methods, AECs ensure practical skill development aligned with industry expectations.

The programme offers the following AECs:

Communication and Life Skills
This course enhances students’ verbal and written communication, interpersonal skills, teamwork, adaptability, and professional etiquette, preparing them to collaborate effectively and present ideas with confidence in diverse environments.

Problem Solving Through Aptitude
This course strengthens analytical reasoning, logical thinking, and quantitative aptitude, enabling students to approach complex problems systematically and make data-driven decisions.

The AEC framework emphasizes:

a) Effective communication and interpersonal excellence
b) Analytical reasoning and structured problem-solving
c) Digital literacy and practical tool-based competencies
d) Career readiness and holistic professional development

By integrating these capabilities into the curriculum, AECs ensure that students graduate as well-rounded, adaptable professionals with the confidence and skills required to excel in technology-driven and collaborative work environments.

The Dissertation/Capstone Project in the undergraduate programme offers students a choice between two distinct pathways in their fourth year: a Capstone Project or a Research Dissertation. The key difference between these two lies in their focus, approach, and intended outcomes.

The Capstone Project is an applied, practice-oriented pathway. Students who choose this option work closely with an industry, organization, or institutional partner, ideally building upon their internship experiences from earlier years. In collaboration with the host organization, they identify a real-world problem or challenge and develop practical, implementable solutions. This pathway emphasizes hands-on problem-solving, professional engagement, and the application of academic knowledge in real-world contexts.

In contrast, the Research Dissertation is designed for students who prefer an academically rigorous, inquiry-driven approach. This pathway involves formulating a clear research question, engaging with relevant theoretical frameworks, and applying appropriate research methodologies to produce a structured and sustained piece of scholarly work.

Together, these two options provide flexibility for students to choose between industry-oriented application and research-focused exploration, enabling them to align their final-year work with their academic interests, professional goals, and future career trajectories.

The Capstone Project is the defining academic milestone of the MCA programme, offering students specializing in Data Science, Generative AI, General Computing, and Game Design an opportunity to integrate and apply their cumulative learning to solve real-world problems. Conducted across the final semesters, this experience enables students to work individually or in teams, bringing together concepts from core subjects, specializations, and electives to create innovative, practical, and impactful solutions.

Designed to bridge the gap between academia and industry, the Capstone Project cultivates advanced problem-solving and critical thinking while encouraging innovation, design thinking, and a strong research orientation. Students gain hands-on experience in collaboration, project management, and professional practices, mirroring real-world work environments.

A key focus of the Capstone is the application of emerging technologies within each specialization:

Data Science: Building predictive models, data-driven insights, and intelligent decision systems
Generative AI: Developing AI-powered applications such as chatbots, content generation tools, and multimodal systems
General Computing: Designing scalable software solutions, full-stack applications, and system architectures
Game Design: Creating immersive gaming experiences using advanced graphics, storytelling, and interactive design principles

Students are encouraged to develop deployable prototypes, scalable systems, and research-driven solutions that demonstrate both technical depth and practical relevance. High-quality outcomes may lead to publications, patents, startup ideas, or funded research opportunities, with strong emphasis on industry alignment, societal impact, and technological innovation.

As a portfolio-defining experience, the Capstone Project significantly enhances students’ readiness for careers, higher education, entrepreneurship, and research, positioning them as skilled, innovative, and industry-ready graduates in a competitive global landscape.

The Course of Independent Study (CIS) is a distinctive 3-credit academic pathway that provides students with an opportunity to engage in research-oriented learning through a faculty-mentored project, taken in place of one course within the curriculum.

Designed to foster intellectual curiosity, innovation, and critical thinking, CIS enables students to undertake hands-on research through laboratories, field-based work, or Centres of Excellence. With close faculty guidance, students identify research problems, conduct structured inquiry, and develop meaningful academic outcomes grounded in academic rigor and practical relevance.

Credits are awarded based on consistent progress, active participation in review milestones, successful completion of the project, and the preparation and submission of a research paper to a Scopus-indexed journal, conference, or other approved scholarly platform. This pathway provides students with early exposure to high-quality research practices and supports their development as emerging scholars and innovators.

After the completion of semesters 2 and 4, students are required to choose between undertaking an internship or participating in an international immersion program.

The internship opportunity after semester 2 is designed as a social internship, allowing students to explore and understand society by engaging with social organizations, governmental or quasi-governmental bodies, and similar institutions. Through this experience, students develop a grounded understanding of social realities, public policy frameworks, and community-level challenges, while also building empathy, ethical awareness, and civic responsibility. Field-based engagement enables students to observe and participate in real-world problem-solving and reflect on broader issues such as inequality, sustainability, public health, education, and social justice.

Alternatively, students may opt for an international immersion program, which provides structured exposure to global academic and cultural environments. Typically organized in collaboration with partner institutions abroad and led by faculty members from Alliance University, these programs may include short-term coursework, workshops, cultural exchange activities, and exposure visits. Students gain insights into diverse pedagogical approaches, cross-cultural perspectives, and global academic discourses relevant to their field. Interaction with international peers and faculty further enriches their learning experience and broadens their intellectual outlook, preparing them for global academic and professional environments.

At the end of semester 4, students again have the option to either pursue an advanced internship or participate in further international immersion. The advanced internship offers more specialized, discipline-focused training, enabling students to work with organizations and industry partners in a structured professional setting. This stage emphasizes applied learning, skill enhancement, and alignment with students’ academic and career interests.

This flexible framework ensures that students can tailor their experiential learning journey according to their academic goals, career aspirations, and personal interests. Together, these pathways balance local engagement with global exposure, equipping students with the knowledge, skills, and perspectives needed to navigate complex social and professional environments.

STUDY ABROAD OPTIONS

International Mobility

Experience global education through our international study opportunities designed to broaden academic perspectives and cultural understanding. These programmes enable students to study at partner universities abroad, gain international exposure, and develop the global competencies needed to succeed in an interconnected world.

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An opportunity that lets students begin their degree at Alliance University (1 or 2 years) and then transfer to a foreign university to complete and earn their degree internationally.

Explore the World: Study a semester abroad, earn transferable credits, and gain global insights while experiencing a new culture and expanding your skills.

Alliance University welcomes students from across the world to study, collaborate, and thrive in a truly global learning ecosystem. We combine academic rigour with industry exposure, modern infrastructure with personalised support, and global perspectives with Indian values.

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Recognising Effort, Celebrating Success

Category Eligibility Criteria
General BCA / B.E. / B.Tech. (CSE) or equivalent OR B.Sc. / B.Com. / B.A. with Mathematics at 10+2 or Graduation level (Bridge courses as applicable). Minimum 50% marks
Reserved Categories 45% marks (5% relaxation for SC / ST candidates)

Program duration
Entry Level Program Duration
Entry Level Two Years / Four Semesters

ACCEPTED TEST SCORES
AUSAT
AUSAT
AUSAT
AUSAT

Particulars Indian Nationals Foreign Nationals
Registration Fee As per admission cycle ₹25,000 US$500
1st Installment (incl. Career Pathway Enhancement Fee) ₹2,25,000 US$3,000
2nd Installment (incl. Career Pathway Enhancement Fee) ₹2,50,000 US$3,350
Total Program Fee
Includes registration + all installments
₹5,00,000 US$6,850

 

Category Eligibility Benefits
SC / ST 60% & above (X & XII) + 70% & above National-Level Entrance Test 20% Tuition Fee Waiver
Differently-Abled 50% & above (X & XII) 50% Tuition Fee Waiver
Defence & Paramilitary 60% & above (X & XII) + 70% & above Entrance Test 15% Tuition Fee Waiver
International-Level Sportsperson 50% & above (X & XII) 100% Tuition Fee Waiver
National-Level Sportsperson 50% & above (X & XII) 50% Tuition Fee Waiver
Domicile Students 60% & above (X & XII) + 70% & above Entrance Test 5% Tuition Fee Waiver

 

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Steps Description
Step 1 Submit Online Application
Step 2 Pay Application Fee — ₹1000 (US$50 for foreign nationals)
Step 3 Academic Evaluation & Entrance Test
Step 4 Oral Extempore Presentation & Personal Interview assessment
Step 5 Selection based on overall profile & performance
Start your application now

Living Spaces That Inspire Belonging

EXPLORE OUR HOSTELS

Comfort, safety, and community form the foundation of campus living. Our residential halls are thoughtfully designed to create a sense of belonging—offering a welcoming environment where students can study, unwind, and build lifelong friendships.

Separate hostels
for boys and girls

Student-friendly
common areas

Spacious rooms
(single, double, or triple occupancy)

Dedicated wardens
and support teams

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Industrial Collaborations

FACEPrep Campus No.12, Avinashi Main Road, Lakshmi Nagar, Thottipalayam Pirivu, Coimbatore, Tamil Nadu, 641014.

Real Stories, Real Impact

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Everything You Need to Know

Who is eligible to apply for the MCA in Data Science programme at Alliance University?
Candidates with a bachelor’s degree in engineering (B. Engg. or B. Tech.) or science (Statistics, Mathematics, Computer Science) from an accredited university with at least 50% in aggregate are eligible to apply. A relaxation of 5% may be applicable for SC/ST/OBC (non-creamy layer) and differently abled categories.
Are real-world projects, case studies, and internships included in the programme?
Yes. The programme integrates real-world projects, case studies, and internships as part of its curriculum to ensure strong industry readiness and practical exposure to data-driven problem solving.
What kind of industries hire MCA – Data Science graduates?
Graduates are hired across IT, e-commerce, healthcare, banking, consulting, telecommunications, and startups. Common roles include Data Scientist, Machine Learning Engineer, Data Analyst, and Cloud Computing Specialist.
Are there opportunities for research and publications in Data Science during MCA?
Yes. The programme includes research-oriented components such as term papers and dissertation projects, supported by Centres of Excellence, enabling students to engage in meaningful research and publications.
What certifications or workshops are offered along with the MCA – Data Science programme?
The programme includes workshops, project-based learning, industry exposure, and access to certification platforms such as Coursera to enhance practical skills and industry readiness.
What is MCA in Data Science at Alliance University, and why is it a top choice for aspiring data scientists?
The programme is designed to build strong foundations in analytics, statistics, machine learning, big data, and AI. It prepares graduates to solve real-world problems using modern data science tools and methodologies.
What is the programme structure of MCA in Data Science?
The programme is a two-year, four-semester postgraduate degree focusing on computer science, mathematics, and statistics with subjects like Python programming, data structures, database design, and advanced data science techniques.
What exciting career paths can I pursue after graduating from MCA in Data Science?
Graduates can pursue careers in data analytics, business intelligence, data engineering, AI, blockchain, and IoT-related domains across various industries.
What is the selection process for admission to MCA in Data Science?
Admission involves online application submission, followed by an aptitude test and personal interview conducted by the university.
Are scholarships or financial aid available for MCA in Data Science students?
Yes. Category-based scholarships are available for eligible students as per university policy.
What hands-on learning opportunities does the MCA in Data Science programme offer?
Students gain practical exposure through internships, live projects, case studies, and training in tools like Python, R, and SQL using real-world datasets.
How does the placement cell support MCA Data Science graduates?
The Career Advancement and Networking (CAN) office provides training, mentorship, workshops, internships, and recruitment support with over 1000 hiring partners.
How does MCA in Data Science open global career opportunities?
The curriculum is designed to meet global industry demands, preparing students for international roles in data science and analytics.
Is MCA – Data Science relevant for non-IT industries?
Yes. The programme is highly relevant to healthcare, retail, and finance industries, where data-driven decision-making is essential.
How does MCA in Data Science prepare students for analytics and data engineering roles?
The programme builds strong foundations in statistics, programming, and machine learning with hands-on training in Python and R, preparing students for analytics and data engineering careers.
What is the duration of the MCA – Data Science program? +

Two Years / Four Semesters.

What skills do students develop? +

Machine learning, AI, data analytics, big-data technology, modelling, and insight generation.

What careers does this prepare students for? +

Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, AI Specialist.

Are scholarships available? +

Yes — category-based tuition fee waivers are available.

What industries hire data science graduates? +

Finance, healthcare, e-commerce, technology, consulting, and public sector.

What is the eligibility requirement? +

Bachelor’s degree with Mathematics requirement and minimum marks as specified.

Does the program include applied learning? +

Yes — projects, analytics use-cases, and applied modelling practice.

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