Udacity Data Scientist Nanodegree Review 2026 [Guide]

Last updated: October 2026. Written by Rizwan Mushtaq, Assistant Professor of Finance & Data Science and a graduate of this Nanodegree; updated and fact-checked by the OnlineCourseing team. If you enroll through our links we may earn a commission, which never changes our verdict. See our review methodology.

Our verdict

In this Udacity Data Scientist Nanodegree review, I’ll explain my entire journey, the projects I did and whether the course is worth recommending or not. I rate it 4 out of 5: excellent projects and reviews, held back by slow mentor replies and a price that suits working professionals better than students.

I have been engaged in the world of data science since 2010, when I started my MS in Management Sciences with research. I prepared a thesis by collecting primary data with a questionnaire, then analyzed it with SPSS and E-views. I also worked with STATA and R during my coursework and on various projects.

I always wanted to explore data science and machine learning more deeply, and Udacity’s programs stood out when I searched. So I enrolled in the Data Scientist Nanodegree. As a graduate of the program, I am probably a little better placed than most to write this review.

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Overview

In this review I take you through the course syllabus, its cost, the prerequisites and the pros and cons. Udacity runs several data science programs from beginner to advanced level, and the Data Scientist Nanodegree is the advanced one, designed to take someone who can already code toward a data scientist role.

Because the program has been rebuilt since I took it, each section below separates two things: what I experienced as a student, and what the program looks like today, re-read on Udacity’s live page in October 2026.

My experience of taking Udacity’s Data Scientist Nanodegree

When I enrolled, Udacity asked me to make a study timetable, which helped me plan a routine. The next step was setting project deadlines, a useful feature when you are on a tight schedule and need to finish on time.

The course began with an introduction to the instructors. The syllabus was well crafted and covered what an industry-ready data scientist needs. I describe the projects later in this review.

Cost and Duration of Data Scientist Nanodegree

When I took it: the program was sold as a four-month package for around $1,199, or $399 a month in installments. Udacity expected at least 10 hours a week, and you could add a month if you needed more time. I finished within the four months. In my opinion that price was a bit high for a full-time student, though less so for professionals; the support team, mentor and career services went some way to explain it.

What it costs today (re-read 22 October 2026)

Also read: my wider Udacity experience.

Check the current price

Pre-requisites of the course

This is an advanced course, so brush up on these before you start. This is the list I would give anyone:

• Machine learning: regression models, classification, decision trees, PCA and clustering.
• Python and SQL: experience writing Python and SQL, and comfort with the terminal and GitHub.
• Statistics: enough to analyze data and read a model’s output critically.
• Math: a little calculus and linear algebra.
• Data wrangling: cleaning and transforming data with pandas and scikit-learn.

Udacity’s current page lists eight prerequisites, including GitHub, matrix operations, Matplotlib, linear regression and pandas, plus fluent written and spoken English. If several of those are new to you, start with the beginner-level Data Analyst or Programming for Data Science program instead.

Projects completed in Data Scientist Nanodegree

The unique part of Udacity’s courses is the industry-driven project work. These are the projects I completed:

Project 1: Write a Data Science Blog Post

The first project was to write a data blog based on my own analysis. The professional reviewers gave detailed comments that improved the project’s quality.

Project 2: Build Disaster Response Pipelines with Figure Eight

This project included everything a data scientist does in the real world. The aim was to deploy a text-classification web app, using data provided by Figure Eight, that classifies messages sent during a disaster. It involved an ETL (extract, transform, load) workflow, a machine-learning pipeline and deploying the model as a web app.

Project 3: Design a Recommendation Engine with IBM

For this project you analyze how users interact with articles on the IBM Watson Studio platform and recommend new articles they are likely to read.

Data Science Capstone Project

My capstone was an image-classification problem: identifying a dog’s breed from a photo. Telling humans from dogs is fairly easy; identifying breeds needs a careful model and a lot of training data. My final model identified breeds correctly often enough to be useful, and it taught me how the same approach powers face recognition in everyday products.

There were also two optional projects: optimizing my GitHub profile, which made me add repositories I had never published, and improving my LinkedIn profile.

Editor’s note: the projects have changed

Thoughts on other features of this Nanodegree

1. Mentorship

A mentor supported me from the start of the program. It was a good experience but a slow one: I sent my questions to my mentor and usually got a reply in a day or two. I expected it to be faster.

2. Project reviews

Project reviews were excellent. It feels good when someone reviews your project and gives specific feedback on your code.

3. Career services

The two most valuable career services were the GitHub and LinkedIn profile reviews. Udacity also said it shared resumes with partner companies, but I didn’t use that.

Job Scenario

Data science remains one of the best-paid analytical careers. The US Bureau of Labor Statistics puts the median pay for data scientists at $120,230 (2025), projects employment growth of 35% from 2025 to 2035, far faster than average, and counts about 275,600 data scientist jobs. (Read on the BLS Occupational Outlook Handbook in September 2026; an earlier version of this review quoted a 2019 Glassdoor-based average.)

Very few people can process data well and turn it into decisions. If you think you can be one of them, don’t let that interest fade. Bear in mind that entry-level data science hiring is competitive, and a portfolio of finished projects matters more than any certificate.

Pros and Cons of Udacity’s Data Scientist Nanodegree

What I liked about Udacity

• High-quality content and instructors, with projects reviewed line by line.
• Industry partnerships: my program was built with organizations including IBM, Kaggle and Starbucks.
• A portfolio you can show employers at the end.

What I didn’t like about Udacity

• Mentor replies took a day or two.
• There are no exams; the Nanodegree is awarded on projects alone.
• The price is hard to justify for a full-time student.

Is Udacity Data Scientist Nanodegree Worth It?

Cost and certificate. When I took it, the program cost about $1,200 (I got a reasonable offer, though). Today it runs on the subscription described above. In today’s job market, skills are valued more than certificates. If this course helps you master data science skills that land you a job, it is worth paying for. If you would be paying mainly for the certificate, I don’t think it is worth it; cheaper certificates are available on other platforms.

Conclusion: Do I recommend it to others?

Yes. I would recommend this Nanodegree to anyone serious about data science. Be aware that it is an advanced program that requires intermediate Python and statistics.

About the author

I have done a few data science courses on Coursera and Udemy. The Udacity course however is on another level. I really enjoy it and the projects you have to do keep it interesting. And it makes me feel confident in what I am doing.

— JohanB (@JohanB25) on X, 12 March 2021

Go to the Data Scientist Nanodegree

What has changed in the Data Scientist Nanodegree since this review

Programs that have run for years get rebuilt, and this one has been. Here is what a student enrolling today gets compared with the version Rizwan took:

The direction of the changes is toward production skills: the new middle projects put a model inside a web app and inside a scikit-learn pipeline, which is closer to what junior data scientists are asked to ship. The deep-learning capstone is gone, so anyone who wants computer vision or neural networks should look at a dedicated deep learning program instead.

The current syllabus, course by course

Udacity lists six courses. These are the names on the live page, with what each one builds toward:

• Welcome to the Data Scientist Nanodegree Program — a 45-minute orientation on how the program works and how to get help.
• Introduction to Data Science and Supervised Machine Learning — the CRISP-DM process and supervised models, leading to the data blog project.
• Software Engineering for Data Scientists — writing clean, tested, reusable code (the skills list includes unit testing and Python magic methods), applied in the dashboard app.
• Data Science Pipelines — building scikit-learn pipelines that combine numeric and text features.
• Unsupervised Machine Learning and Recommendation Systems — ranking-based, content-based and collaborative filtering, including matrix factorization.
• Congratulations! — the close-out after your final project passes review.

Each project is reviewed by an industry professional, and you can resubmit until it meets the rubric. That review loop is what you are paying for: it is the part a free course cannot give you.

How much does the Udacity Data Scientist Nanodegree cost in 2026?

The price depends on how fast you finish, because you pay for time on the subscription rather than for the program:

Today’s actual prices are $125 a month and $423 for the bundle; Udacity runs frequent percentage-off sales, and our Udacity coupon page tracks the current one. The practical rule: if you already meet the prerequisites and can give it 10 or more hours a week, the monthly plan is cheaper; if you are working full time and expect it to take four months, take the bundle. The subscription also covers every other Udacity program, so you can take the Data Analyst program first without paying twice.

See today’s Udacity price

Who should take the Data Scientist Nanodegree, and who shouldn’t

Take it if

• You already write Python and pandas comfortably and want structured, reviewed machine-learning projects.
• You learn best with deadlines and feedback, and you have stalled on self-paced free courses.
• You want four portfolio projects that a hiring manager can open and read.
• Your employer pays for it, which removes the main objection.
• You can set aside two or three longer sessions a week; the projects reward focused blocks of time more than short daily bursts.

Skip it if

• You are new to Python or statistics. Start with Programming for Data Science (beginner, 63 hours) or the Data Analyst program (intermediate, 43 hours).
• You mainly want a recognizable certificate name for your resume; a Coursera professional certificate is cheaper.
• You want deep learning or computer vision; the current version no longer includes them.
• You need live, same-hour help. Mentor and review turnaround was slow in Rizwan’s experience, and recent reviewers mention waits too.

A note for international learners. Udacity requires fluent written and spoken English for this program, because project reviews and the written blog project are in English. Prices on this page are Udacity’s US list prices, so compare the final amount at checkout before you pay, and remember the 7-day refund window (14 days in the EU) runs from your payment date, not from your first lesson.

What students say: Trustpilot and Reddit

Trustpilot. Udacity as a whole holds 4.5 out of 5 from 3,412 reviews (read 22 October 2026). We read the 45 most recent reviews ourselves: 31 were five-star and 7 four-star, mostly praising the projects, the reviewers’ feedback and the step-by-step structure. The complaints were specific: a project review left pending for three weeks with unanswered support tickets, a workspace terminal that would not install packages, and one reviewer who called it a waste of money. That matches Rizwan’s own experience: the teaching is strong, the support speed is the weak point.

Reddit. The threads that discuss this program are mostly from 2019 to 2021, so treat them as history. In r/Udacity, graduates called it a great but expensive experience with helpful mentors, and one suggested taking an introductory machine-learning program first if you have no ML background. A 2019 student said the support model had declined since the days of live technical mentor chat. A widely shared r/learnprogramming post warned against Udacity after a poor experience on other Nanodegrees, while several replies defended specific programs. The most useful takeaway from Reddit is the same one as ours: check the prerequisites honestly before you pay.

Udacity’s own testimonials on the program page (seven graduates, including one who says the program helped his income more than double) are curated by Udacity, so we give them less weight than independent reviews.

Udacity Data Scientist vs Data Analyst Nanodegree

These two are often confused, and they target different people:

If you have to ask which one you are ready for, start with the Data Analyst program; it is the natural prerequisite. Our separate Udacity Data Analyst Nanodegree review covers it in full, and our ranking of the best Udacity Nanodegrees compares this program with nine others.

Alternatives to the Udacity Data Scientist Nanodegree

• IBM Data Science Professional Certificate (Coursera) — beginner level, 969,599 enrolled learners and a 4.6 rating from more than 151,000 reviews. Cheaper and better for a first data science credential, though its projects are not individually reviewed the way Udacity’s are. Included in Coursera Plus, currently $319.20/year (normally $399).
• DataCamp Associate Data Scientist in Python — a 90-hour interactive track with an optional certification exam, rated 4.7. Best for daily hands-on practice; DataCamp Premium is $330 a year at list price and often discounted.
• Free options — Harvard’s CS50 courses on edX and freeCodeCamp’s Python curriculum cover the programming foundations for free, and are the right first step if the prerequisites list above looks unfamiliar.

For a wider list, see our guide to the best data science courses.

How to get the most out of the Nanodegree

• Clear the prerequisites first. Every week you spend learning pandas inside the program is a week of subscription you pay for.
• Plan around review turnaround. Submit a project before you start the next course, so the review comes back while you keep working.
• Treat each project as a portfolio piece. Write a short README and publish it on GitHub as you go, which the optional GitHub review rewards.
• Use the mentor and forums early. Replies can take a day or two, so ask before you are blocked, not after.
• Decide on monthly vs bundle before you start. Use the table above: fast finishers save with monthly billing.

Related Udacity guides:

• Every Udacity Nanodegree in 2026 (hub)
• Is Udacity worth it? Full review
• Udacity graduate reviews
• Udacity Generative AI Nanodegree review
• Udacity Agentic AI Nanodegree review
• Udacity AWS ML Engineer review
• Data Engineer Nanodegree review
• Data Streaming Nanodegree review

The four current projects in detail

1. CRISP-DM Data Science Blog

You pick a dataset, frame a business question, and work through the CRISP-DM process (business understanding, data understanding, preparation, modeling, evaluation, deployment) before publishing the findings as a blog post for a non-technical reader. It carries forward the blog project Rizwan describes above, and it tests communication as much as analysis.

2. ML Prediction Dashboard App

You integrate a trained classifier into a web application that flags employees at risk of leaving. The skill being tested is getting a model out of a notebook and into something a manager could use, which is where many self-taught learners stop short.

3. scikit-learn ML Pipeline

You build a scikit-learn pipeline that combines numeric features with natural-language text features to predict whether a customer recommends a product. Pipelines, feature engineering on text and reproducible preprocessing are the core of this one.

4. Build a Recommendation System

You compare ranking-based, content-based and collaborative-filtering recommenders, using matrix factorization, on user interactions with IBM Watson articles. It is the closest descendant of the IBM recommendation engine Rizwan built.

Who teaches the Data Scientist Nanodegree

Udacity lists seven instructors on the current program, drawn mostly from industry rather than academia: David Elliott (data scientist and data engineer), Antje Muntzinger (professor of computer vision), Nathan Klarer (CEO), Joshua Bernhard (staff data scientist), Jo-L Collins (senior lead data scientist), Victor Geislinger (machine learning engineer) and Matt Maybeno (senior applied ML engineer). The teaching is video plus written lessons; the people you deal with week to week are the project reviewers and, through the help channels, mentors.

Udacity counts 61 skills across the program. The ones it highlights include CRISP-DM, data storytelling, blog writing, unit testing, Python magic methods, similarity scores and GitHub portfolios, which tells you how much of the program is about engineering habits rather than algorithms alone.

Refunds, cancellation and free trial

Udacity’s terms (updated 16 January 2026) allow a refund within 7 days of purchase, or 14 days in the EU; after that, payments are not refunded. There is no free trial for the subscription. Udacity says you can cancel the monthly plan at any time. In practice, that means: check the syllabus and prerequisites before you pay, and use the first week to confirm the pace suits you while the refund window is still open.

Does the Nanodegree count toward a master’s degree?

Udacity says this program can earn credit hours toward its accredited MSc in Artificial Intelligence, offered with Woolf. When we checked Udacity’s degree pages on 21 October 2026, the MSc was listed at less than $2,500 in tuition plus a $199 fee and your subscription, over 18 to 24 months, and the $199 fee is not refundable. The Nanodegree certificate on its own is not a degree or an accredited qualification; it is a record of reviewed project work. If the master’s matters to you, confirm on Udacity which programs count before you enroll.

Does the Data Scientist Nanodegree help you get a job?

It can help, but not by itself. Udacity reports that 96% of its graduates reported a positive career outcome in its Q2 2026 learner survey; that is a self-reported figure across all programs, not a placement rate for this one, so read it as encouraging rather than proof. What the program reliably gives you is four reviewed projects that you can show in interviews and on GitHub.

The job market is real: BLS counts about 275,600 data scientists and projects 35% growth to 2035. But entry-level roles are competitive and many employers still ask for a degree in a quantitative field. The graduates who do best treat the Nanodegree as proof of practical skill on top of a background in statistics, engineering or analysis, which was Rizwan’s own route.

Udacity Data Scientist Nanodegree vs IBM Data Science Professional Certificate

This is the comparison most readers are really making, so here it is side by side:

The two fit together better than they compete. A common route is the IBM certificate first, for the foundations and a credential, then the Udacity program for reviewed, harder projects once the basics are solid.

A four-month study plan for the Nanodegree

If you take the four-month bundle and work full time, this pacing keeps you inside it with a buffer for review cycles:

• Weeks 1–3: orientation and supervised machine learning; draft and submit the CRISP-DM blog project.
• Weeks 4–7: software engineering for data scientists; build and submit the ML prediction dashboard app.
• Weeks 8–11: data science pipelines; build and submit the scikit-learn pipeline project.
• Weeks 12–15: unsupervised learning and recommendation systems; build and submit the recommendation system.
• Week 16: buffer for resubmissions, then polish all four projects on GitHub.

That works out to roughly 6–8 hours a week in total: about 4 hours of lessons (61 hours spread over 16 weeks) plus project work, which takes longer than the videos. If you can study 15 or more hours a week, the same plan compresses into about two months, and the monthly plan becomes the cheaper option.

Frequently asked questions

How much does the Data Scientist Nanodegree cost?

$125 a month on Udacity’s subscription, or $423 for a four-month bundle. At list price that is $249 a month or $846 for four months.

What are the prerequisites?

Working knowledge of Python, pandas and statistics, plus GitHub and basic linear algebra. It is an advanced program. Start with Udacity’s Data Analyst or Programming for Data Science Nanodegree if you are new.

What are the best alternatives?

The IBM Data Science Professional Certificate on Coursera is cheaper and suits beginners; DataCamp is strong for interactive, hands-on practice. See our Udacity graduate reviews for how the platform compares.

How long does the Udacity Data Scientist Nanodegree take?

Udacity lists 61 hours of content and sizes its bundle at four months, the average time to complete. Students with the prerequisites who study 10 or more hours a week often finish faster.

What projects are in the Data Scientist Nanodegree?

Four reviewed projects: a CRISP-DM data science blog, an ML prediction dashboard web app, a scikit-learn ML pipeline, and a recommendation system built on IBM Watson articles.

Is the Udacity Data Scientist Nanodegree worth it?

For someone who already knows Python and wants reviewed projects and a portfolio, yes. For a beginner, or someone who mainly wants a certificate, a cheaper Coursera certificate is the better buy.

Can I get a refund on the Udacity Data Scientist Nanodegree?

Udacity refunds payments made within the last 7 days (14 days in the EU). There is no free trial, so check the prerequisites before paying and use the first week to confirm the pace.

What do Reddit users say about the Udacity Data Science Nanodegree?

Most Reddit threads on it date from 2019 to 2021. Graduates describe it as valuable but expensive, with helpful mentors; critics say support has slowed and that the price is high compared with Udemy or free resources.

See the Data Scientist Nanodegree