Data Science

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.

  • At Birchwood, it costs an average of $325/credit to pursue your online Master of Science in Data Science. Invest in your future, not in a campus.
  • Personalizing your Master of Science in Data Science is easy. Pick a pathway based on your career goals, with support at every stage.
  • Take a different path and stand out from the crowd with Birchwood Online Master of Science in Data Science Program.
The Data Science Landscape

Why choose a Master of Science in Data Science?

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:

  • 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 Program Highlights

The Data Science Landscape

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.

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    50X

    50x is the minimum growth over the span of last 10 years i.e 2013 to 2023

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    1.5 Million

    data savy managers will be needed in next 5 years to drive decisions.

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    $108,000

    mean salary for positions in data science field across the globe.

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    90%

    fortune 500 companies have Data Science initiatives under way.

Upon completion of the program, students will:

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

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Program Highlights

See which benefits you can derive from joining this program.

  • Online Program

    Minimum 18-month online program

    Industry Expert Mentor

    Highly Experienced Faculties

  • Collaborations

    This allows students to keep updated with the global learning pedagogy in Birchwood University.

  • Dedicated Support Team for your Academic Journey

    Industry Experts Live Sessions

    Grievance Redressal System

    Dedicated Tech & Academic Support on how to leverage the platform features.

  • Become Job-ready

    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

Program Curriculum

An overview of what you will learn from this program.

MDS500 | Python Programming | 4 Credit Hours

MDS510 | Data Base Management System | 4 Credit Hours

MDS520 | R Programming | 4 Credit Hours

MDS530 | Exploratory Data Analysis | 4 Credit Hours

MDS540 | Machine Learning | 4 Credit Hours

MDS550 | Machine Learning Model Deployment | 4 Credit Hours

MDS560 | Artificial Intelligence | 4 Credit Hours

MDS570 | Data Visualization Using Tableau/Power BI | 4 Credit Hours

MDS600 | Capstone Project | 4 Credit Hours

Capstone Projects

Test your skills and mettle with a capstone project.

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Election Outcome Prediction

Analyze historical election data to predict election outcomes and understand factors influencing voter behavior.

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E-commerce

Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network

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Web & Social Media

Techniques used: Topic Modeling using 9 Latent Dirichlet Allocation. K-Means & Hierarchical Clustering

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Banking

Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART

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Supply Chain

Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network

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Healthcare

Techniques used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM

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Retail

Techniques used: Market Basket Analysis, Brand Loyalty Analysis

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Insurance

Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis

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Entrepreneurship /Start Ups

Techniques used: Univariate and Bivariate Analysis, Multinomial Logistic Regression, Random Forest

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Finance & Accounts

Techniques used: Conditional Inference Tree, Logistic Regression, CART and Random Forest

Why Careerera

Enrol with leading global online educational course provider.

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Users

250000+
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Top Ranked Programs

10
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Industry Experts

500+
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Expert Faculties

1000+

Data Science Batch Profile

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Our students include freshers and experienced professionals from across industries, functions and backgrounds.

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Benefits

Learn from leading academicians and several experienced industry practitioners from top organizations.

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Personalised workshops based on your proficiency level to help you get on par.

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Mix of Live Classes & Recorded lectures for your convenience.

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24*7 Student Support, Quick doubt resolution by industry experts

Alumni Highlights

  • 200+
    Global Companies
  • $122K PA
    Average CTC
  • $250K PA
    Highest CTC
  • 87%
    Average Salary Hike
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Our Users From

We Have Users For Our Data Science Program From Following Companies

Application Process

Enroll in the program with a simple online form.

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Apply by filling a simple online application form

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Admissions committee will review and shortlist.

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Shortlisted candidates need to appear for an online aptitude test.

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Screening call with Alumni/ Faculty

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Sign Up

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FAQ

Find answers to all your queries and doubts here.

Q1 : What is the closing date for issue of applications?

A : You may contact the Birchwood University Admissions Office.

Q2 : Can I visit the campus to know more about the program and University?

Q3 : Can I pursue the Data Science master’s degree part time while I am working?

Q4 : Is there financial aid available?

Q5 : When and how can I apply? Does the program have rolling admissions?

Q6 : What are the skills required to start a job in the field of Data Science?

Q7 : Who is eligible for taking the Masters in Data Science course from birchwood university?

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