Gain in-demand expertise in Data Science with a globally accredited Master’s programme. Delivered 100% online, this rigorous, industry-aligned curriculum empowers working professionals and graduates to master tools like Python, SQL, Power BI, Machine Learning, and AI—while working on real-world projects under expert guidance.
📘 Program Duration: 12 Months | 2 Semesters
Engage in interactive, instructor-led online classes delivered by top academicians and data science professionals.
Apply your learning to real-world business problems through live case studies, industry projects, and data challenges.
Earn a fully accredited Master's in Data Science degree aligned with academic and industry standards.
Receive end-to-end career assistance including 1:1 mentoring, resume building, mock interviews, and internship opportunities.
The Master’s in Data Science is a postgraduate programme designed to build advanced capabilities in data-driven decision-making, analytical thinking, and technical implementation. It empowers learners to transform raw data into actionable intelligence across industries.
Delivered entirely online, the programme offers unparalleled flexibility and is ideal for graduates and working professionals looking to upskill in domains like Python, SQL, Machine Learning, Deep Learning, Power BI, Tableau, NLP, and Computer Vision.
Backed by a rigorous academic framework and practical immersion through real-world projects, research assignments, and thesis work, this curriculum is aligned with emerging global standards in Data Science education.
With dedicated mentorship, expert faculty, and 100% placement assistance, the programme equips learners for roles such as Data Analyst, Data Scientist, AI Engineer, and ML Developer in top-tier organizations.
Master the fundamentals of Python programming with a focus on data manipulation, statistical analysis, and machine learning implementation using libraries like NumPy, Pandas, and Scikit-learn.
Learn structured query language (SQL) to extract, manipulate, and manage large-scale datasets. Topics include joins, subqueries, indexing, data modeling, and performance tuning for analytics.
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Develop predictive models using logistic regression and decision trees to identify customers likely to leave a telecom service.
Apply time-series analysis and ARIMA models to predict monthly sales trends for a large-scale retail chain.
Use classification models such as logistic regression and random forest to evaluate loan applicant risk profiles.
Design and build a collaborative filtering engine using user-item matrix and cosine similarity for personalized content delivery.
Extract insights from customer reviews using tokenization, TF-IDF, and sentiment scoring with machine learning classifiers.
Collaborate with a corporate partner to solve a real-world problem using end-to-end data science, from data acquisition to deployment.
Graduate with advanced skills in machine learning, data analytics, artificial intelligence, and business intelligence tools.
Earn a prestigious postgraduate degree that meets international academic and industry benchmarks.
Access job preparation services, mock interviews, placement drives, and a curated employer network.
Demonstrate your skills with a portfolio of applied projects developed in collaboration with industry mentors.
Earn certifications in widely-used tools such as Python, Power BI, Tableau, and TensorFlow to validate your skills.
Join a professional community of data scientists, mentors, and recruiters across multiple industries and countries.
Enhance your learning with hands-on internships and practical exposure to real-world business data environments.
Refine your professional brand with expert-led resume and profile building sessions tailored to data science roles.
Receive personalized guidance from industry veterans to navigate career pathways and technical challenges.
Top companies are hiring our graduates across industries like finance, tech, consulting, e-commerce, and analytics.
Lay the groundwork for a career in data science and enter the workforce with a competitive edge.
Reskill or upskill for roles in analytics, AI, or data engineering while balancing your current job.
Apply your technical expertise to solve complex data problems and transition into high-impact roles.
Make a strategic move from non-tech backgrounds like BPO, finance, or marketing into the data economy.
Level up from operational reporting to advanced data modeling, forecasting, and ML applications.
Strengthen your credibility and deliver high-value projects with enterprise-grade data skills.
Our students include freshers and experienced professionals from across industries, functions and backgrounds.
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Interpret and visualize data using tools like Excel, SQL, Power BI, and Tableau to support strategic business decisions.
Develop predictive models and machine learning solutions using Python, Scikit-learn, TensorFlow, and statistical methods.
Analyze business processes, KPIs, and user trends to deliver data-driven recommendations aligned with organizational goals.
Engineer scalable ML solutions and deploy models into production using Python, TensorFlow, Docker, and cloud platforms.
Design and maintain data architecture, ETL pipelines, and distributed systems using Spark, Hadoop, and SQL-based tools.
Travel to Dubai, Europe, or the UK for a once-in-a-lifetime opportunity. This 21-day global immersion combines cultural exposure, industry experience, and hands-on international learning.
This is a comprehensive program focused on preparing you for careers in Data Science, AI, and Machine Learning. It covers statistics, Python, data modeling, deep learning, and real-world projects that help you gain hands-on experience with structured and unstructured data.
You’ll master Python, SQL, data wrangling, visualization (Tableau/Power BI), machine learning algorithms, deep learning frameworks like TensorFlow, and applied projects in fields such as healthcare, finance, and e-commerce analytics.
The program is fully online. It includes live interactive classes, recorded video lessons, practical assignments, and expert mentoring. All you need is a laptop and internet connection to attend from anywhere in the world.
You can work as a Data Scientist, Machine Learning Engineer, Research Analyst, Data Engineer, or AI Specialist. Graduates are placed in top companies across industries like FinTech, EdTech, Healthcare, Retail, and Consulting.
FindMyTuition helps you with course selection, EMI-based enrollment, live support, mentor sessions, doubt clearing, project reviews, resume preparation, and job placements. We ensure you get the guidance and tools needed to succeed in your data science journey.
Complete the online form with your personal and academic details.
Book a free career counseling session to discuss your goals.
Submit your documents securely for verification by our team.
Receive your admission confirmation and start your learning journey. No entrance test required!
Documents Required
Eligibility CriteriaHave questions or need support? Reach out to the Find My Tuition team — we're here to help you succeed in your academic journey.
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