Learn how to analyze and interpret data correctly.
The Masters in Data Science is a professional master’s program designed for students who want to begin or advance their careers in data science. The industry-relevant curriculum gives you the skills to extract valuable insights from big data. In this program, you will learn expertise in statistical modeling, data management, machine learning, data visualization, software engineering, research design, data ethics, and user experience to meet the growing needs of industry, not-for-profits, government agencies, and other organizations.Our students have strong undergraduate grades and technical skills, but we also look for more than that when making a cohort. We admit students who have a diverse set of backgrounds and perspectives. Because of this, our program is able to offer a unique, vibrant experience.
The Master in Data Science opens the door for your career in data-driven businesses. After your graduation, you are typically responsible for all aspects of transforming data into value, from designing the technical infrastructure to building advanced machine and deep learning models, as well as improving data quality and evaluating the performance of the predictions. It can also be your responsibility to help companies and teams to achieve their goals in becoming a predictive enterprise. In this case, you are responsible to identify potential use-cases, perform the initial project planning and define the relevant measures and metrics to define success.
By the time you complete the academic requirements for your Data Science Masters’ degree, you will be able to:
The Masters in Data Science is a professional master’s program designed for students who want to begin or advance their careers in data science.
50x is the minimum growth over the span of last 10 years i.e 2013 to 2023
data savy managers will be needed in next 5 years to drive decisions.
mean salary for positions in data science field across the globe.
fortune 500 companies have Data Science initiatives under way.
Apply the necessary skills to communicate effectively, thoughtfully, and compassionately within the global Analytics field.
Apply, synthesize, analyze, and integrate the knowledge of Data Science, Python, Machine Learning, Artificial intelligence to arrive at innovative solutions to organizational problems.
Demonstrate the skills to work in multicultural organizations within a globalized society.
Demonstrate the ability to develop, analyze and communicate empirical scholarly work.
Develop the competencies in Data Science
See which benefits you can derive from joining this program.
Minimum 18-month online program
Industry Expert Mentor
Highly Experienced Faculties
This allows students to keep updated with the global learning pedagogy in Birchwood University.
Industry Experts Live Sessions
Grievance Redressal System
Dedicated Tech & Academic Support on how to leverage the platform features.
Real-world case studies to build practical skills
Hands-on exposure to analytics tools & techniques such as Python, Tableau, SQL
Learn industry insights through multiple industry knowledge sessions
An overview of what you will learn from this program.
Test your skills and mettle with a capstone project.
Analyze historical election data to predict election outcomes and understand factors influencing voter behavior.
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Techniques used: Topic Modeling using 9 Latent Dirichlet Allocation. K-Means & Hierarchical Clustering
Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Techniques used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM
Techniques used: Market Basket Analysis, Brand Loyalty Analysis
Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis
Techniques used: Univariate and Bivariate Analysis, Multinomial Logistic Regression, Random Forest
Techniques used: Conditional Inference Tree, Logistic Regression, CART and Random Forest
Enrol with leading global online educational course provider.
Our students include freshers and experienced professionals from across industries, functions and backgrounds.
Learn from leading academicians and several experienced industry practitioners from top organizations.
Personalised workshops based on your proficiency level to help you get on par.
Mix of Live Classes & Recorded lectures for your convenience.
24*7 Student Support, Quick doubt resolution by industry experts
Enroll in the program with a simple online form.
Find answers to all your queries and doubts here.
A : You may contact the Birchwood University Admissions Office.