COVID-19 STATEMENT: While this virus is impacting everyone differently, this online program is continuing as planned.
Please consider joining our global online classroom for an enriching and interactive experience to further your career.
While this virus is impacting everyone differently, this online program is continuing as planned. Please consider joining our global online classroom for an enriching and interactive experience to further your career.
Professional Certificate in Applied Data Science
  • STARTS ON:

    October 21, 2020

    DURATION:

    6 months online
    10-15 hours per week

  • PROGRAM FEES

    Full tuition

    $12,500

    $6,500*

    or
    Financing options starting at

    $98/Month

    $51/Month

    infoFinancing options starting at $98 $51 per month
    *A limited offer owing to the current pandemic situation

Jump In

Jump In

Jump In

Demand for data scientists crosses all industries as employers scramble to harness the power of data analytics to personalize their products, minimize risk, and expand into new markets. The Professional Certificate in Applied Data Science from the Thayer School of Engineering at Dartmouth positions professionals to take full advantage of this trend. Upon completing this program, you will be ready to take advantage of new opportunities and face new challenges in the field of Data Science.

"Data scientists are able to think of ways to use data to solve problems that otherwise would have been unsolved, or solved using only intuition."

PETER SKOMOROCH, FORMER PRINCIPAL DATA SCIENTIST AT LINKEDIN

  • 3X

    Data Science jobs are expected to grow almost 3X as fast as other job categories in the coming years.

    SOURCE: BUREAU OF LABOR STATISTICS
  • 344 %

    Increase in job market demand for data scientists since 2013.

    SOURCE: BUREAU OF LABOR STATISTICS
  • $120,000

    Average salary of a data scientist.

    SOURCE: ITSTAFFING.COM
  • 94 %

    Of data science graduates have found jobs since 2011.

    SOURCE: ITSTAFFING.COM

Who Is This Program For?

Career Launchers, wanting to enter an exciting, evolving field with a foundation that assures flexibility as new platforms and technologies enter the field.

Career Builders, ready to build upon existing skills, whether in a technical or non-technical capacity.

Career Switchers, looking for new ways to expand opportunities, engage in continuous learning, and increase earning potential.

Prerequisites:

Skill requirement: A demonstrated knowledge of Calculus, Linear Algebra, Statistics, and Probabilities is required. *

*Assessment: Students will be given an assessment to test their math skills prior to commencement of the program. You can view sample questions by clicking here.

Program Highlights:

Prepare to Enter the Data Science Job Market

  • One-to-one career coaching*
  • World-class faculty and thought leadership
  • Regular live webinars*
  • Rigorous, graded assignments (Professional-level certificate)
  • Assistance with career planning
  • Real-world application of knowledge
  • Small group mentoring sessions
  • Learn from and network with your colleagues through peer discussions
  • Ivy League education

*Services provided by Emeritus, a learning partner for this program.

Additionally, you will develop high-demand skills in today’s job market, including: Data Visualization, Machine Learning, Risk Management, and Predictive Capabilities. You will understand the basics and potential of Python coding through live coding sessions and application-based assignments. Create visualizations, build linear and logistic regression models, and apply common Machine Learning algorithms such as K-means clustering and random forest. Access the personalized career guidance you need — beyond resumes and LinkedIn profiles — to prepare for a future career in data science. Lastly, you will also develop a data science portfolio to share with prospective employers.

Additionally, you will develop high-demand skills in today’s job market, including: Data Visualization, Machine Learning, Risk Management, and Predictive Capabilities. You will understand the basics and potential of Python coding through live coding sessions and application-based assignments. Create visualizations, build linear and logistic regression models, and apply common Machine Learning algorithms such as K-means clustering and random forest. Access the personalized career guidance you need — beyond resumes and LinkedIn profiles — to prepare for a future career in data science. Lastly, you will also develop a data science portfolio to share with prospective employers.

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"My goal is to demystify data science and help you unlock your potential as a data scientist. Together we will explore this landscape and develop your toolkit so that, using data science, you can provide valuable solutions to your future organization. My hope is that you will learn the key concepts to accelerate your journey of becoming a successful data scientist, whatever your industry or field of work may be."

–Geoffrey Parker

Professor of Engineering at Dartmouth College
Director of the Master of Engineering Management Program at Thayer School of Engineering

The Triumvirate: Your Personal Career Success Team

Career Coaching + Mentorship from Industry Experts + Webinars = Job-Ready Confidence

Where do you fit in the expanding universe of Data science? What is your unique skill set?

One-to-one sessions with your Career Coach will help you develop your value proposition to employers.

Mentors will help you navigate the challenges specific to data science careers in small group sessions.

Regular Webinars will improve your networking and job search skills. You’ll use these Webinars to craft your Linkedin profile, develop and practice delivering your elevator pitch for different audiences, identify interview goals, and practice developing a rapport with prospective employers.

The Learning Journey

Over the course of six months, you will develop a competency in data science fundamentals. By working directly with and recieving support from industry-expert mentors, you will be prepared for a shift into a career in data science.

EARLY PROGRAM SESSION: 4-WEEK PYTHON CODING CAMP

All students will participate in a four-week Python coding camp to prepare you to tackle the fundamentals of data science. Live office hours and moderated discussions boards offer personalized support.

The Learning Journey The Learning Journey
  • Python Coding Camp
  • Practical Applications of Analytics
  • Data Structures and Plotting
  • Introduction to Statistics and Probability
  • Linear Models – Ordinary Least Squares
  • Linear Regression: Interactions and Transformations
  • Logistic Regression and Applying GLMs
  • Data Visualization Strategies
  • Experimental Design, Causal Research, and Targeting Analysis
  • Machine Learning
  • Final Project to Your Job-Ready Portfolio
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For full details of the curriculum, please download the brochure.

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Faculty

Faculty

Geoffrey Parker

Professor of Engineering at Dartmouth College
Director of the Master of Engineering Management Program at Thayer School of Engineering

Geoffrey Parker is Professor of Engineering at Dartmouth College, where he also serves as Director of the Master of Engineering Management Program. Parker also teaches regularly in the Dartmouth Tuck School of Business executive education program. In addition, he is a research fellow at MIT’s Initiative for the Digital Economy where he leads platform industry research studies and co-chairs the annual MIT Platform Strategy Summit. Prior to joining the Dartmouth faculty, he was Professor of Management Science at the Tulane University A. B. Freeman School of Business. He received a B.S.E. from Princeton and M.S. and Ph.D. from MIT.

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Professional Certificate

This is a rigorous, fully graded, skill-based program. The Professional Certificate in Applied Data Science from Thayer School of Engineering at Dartmouth shows prospective employers that you are ready to take on a challenging role in data science, from concept to code.

Earn Your Certificate

Your verified digital certificate will be issued in your legal name and emailed to you, at no additional cost, upon completion of the program, as per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Thayer School of Engineering.

Still Have Questions?

How do I know if this program is right for me?

Demand for individuals with skills in data science has grown faster than supply, creating opportunities for those with quantitative abilities to launch into this career field.

This online Professional Certificate in Applied Data Science is based on portions of the Master of Engineering Management program curriculum taught at the Thayer School of Engineering at Dartmouth by Professor Geoffrey Parker. It is organized around the skills that technology giants such as Amazon, Google, Facebook, Apple, and McKinsey value in data science professionals. Numerous participants in the on-campus version of the program have leveraged the skills acquired at Dartmouth to obtain positions in data analytics-oriented roles across a variety of industries.

Are there any prerequisites for this program?

You must demonstrate a knowledge of math and have basic coding experience to enroll in this program.

  • Mathematics requirement: A demonstrated knowledge of Calculus, Linear Algebra, Statistics, and Probability is required.
  • Assessment: Students will be given an assessment to test their math skills prior to the start of the program. You can view sample questions by clicking here.

What is the typical class profile?

A global and experienced peer group is one of the key elements of the program. The typical class will have early stage, mid-level, as well as senior professionals looking to create a new career pathway in data science. A large majority of participants come from the US but we attract many participants from the wider English-speaking markets like Australia, UK etc. Finally, your class will have professionals from various sectors of the economy, with high representation from Banking and Financial Services, Healthcare, E-commerce, Energy and IT Services.

Why is there such a strong emphasis on math?

In order to fully understand the real business problems that data science can help solve, you need to understand how the algorithms work. Take for example machine learning, an approach that is being applied across every industry. Math is a fundamental aspect of understanding what machine learning is about. As you proceed through your career and develop new skills, you will need to leverage this mathematical understanding to engage with and comprehend new literature and peer-reviewed journals on Machine Learning approaches.

What are the requirements to earn the certificate?

This is a graded program. You will be required to complete a combination of individual assignments, quizzes, and a final project. Each component carries a certain number of points and a cumulative score of 75% is required to pass and obtain your Professional certificate.

Will I be guaranteed a job in data science?

The program will give you the skills you need to be prepared for a job in this field, however a job placement is not guaranteed. Our program team includes data science mentors and career coaches to help you prepare for your job search. Employment offers will depend on many factors, including your prior experience, education, and target job market.

Download Brochure