Scaler Neovarsity
A full member of Woolf, a Higher Education Institution in Europe.
Scaler Neovarsity aims to provide industry-relevant and academically rigorous programs to help learners better prepare for careers in cutting edge sub-fields of engineering, science, applied math and management. Our core tenets are:
- Provide the highest quality education (teaching and mentorship) which is simple to learn from, practical and effective; thereby making it accessible to learners across the widest range of expertise and backgrounds.
- Affordable and cost-effective higher education with high return on investment of time, energy and money.
- Prepare our learners with real-world problem solving and industry-relevant skills to make them ready for careers in industry and academia. We want our learners to level-up in this skills and careers.
- Make life-long learners by inculcating the habit of learning rigorously from first principles and a varied set of resources.
Scaler Neovarsity is founded by industry experts and academia with decades of experience teaching and building cutting edge products for some of the world's largest companies and institutions.
You can find more about us at https://www.scaler.com and AppliedAICourse.com.
Degrees
Master of Science in Computer Science: Artificial Intelligence and Machine Learning
Master of Science in Computer Science: Artificial Intelligence and Machine Learning
ECTS Accredited (EQF7)
The course teaches students comprehensive and specialised subjects in computer science; it teaches students cutting-edge engineering skills to solve real-world problems using computational thinking and tools. Most of this program is the case (or) project-based where students learn by solving real-world problems end to end. This program has core courses that focus on computational thinking and problem solving from first principles.
The core courses are followed by specialization courses that teach various aspects of building real-world systems. This is followed by more advanced courses that focus on research-level topics, which cover state-of-the-art methods. The program also has a capstone project at the end, wherein students can either work on building end-to-end solutions to real-world problems (or) work on a research topic. The program also focuses on teaching the students the “ability to learn” so that they can be lifelong learners constantly upgrading their skills. Students can choose from a spectrum of courses to specialize in a specific sub-area of Computer Science like Artificial Intelligence and Machine Learning, Cloud and Full Stack Development, etc.
The overall course objectives of the programme are:
Knowledge
- Students will have cutting-edge knowledge and understanding of computer science allowing them to solve real-world engineering and specific computational problems using advanced techniques at the forefront of computer science
- Students will be able to analyse the societal, regulatory, and technological contexts for key computer science applications
- Students will be able to apply their technological abilities to produce innovative solutions to real-world problems and that implement technique learned in the course
- Students will display original thinking on the basis of the knowledge they gain in the course
Skills
- Develop advanced, innovative, and multi-disciplinary problem-solving skills
- Communicate computer science methods and tools clearly and unambiguously to specialised and non-specialised audiences
- Develop advanced abilities related to computer science operational procedures and implement them in response to changing environments
- Critically evaluate alternative approaches to solving real-world engineering and technological problems using cutting edge techniques in computer science on the basis of academic scholarship and case studies, demonstrating reflection on social and ethical responsibilities
- Formulate technological judgments and plans despite incomplete information by integrating knowledge and approaches from various computer science domains including machine learning, distributed computing, and cloud computing.
- Enquire critically into the theoretical strategies for solving real-world problems using computational thinking and tools.
- Develop new skills in response to emerging knowledge and techniques and demonstrate leadership skills and innovation in complex and unpredictable contexts
Competences
- Formulate research-based solutions to practical problems in environments of incomplete information
- Manage decisions with autonomy in complex and unpredictable environments
- Organise projects and people in a way that is responsive to changes in the wider technological environment
- Demonstrate learning skills needed to maintain continued, self-directed study
Master of Science in Computer Science
Master of Science in Computer Science
ECTS Accredited (EQF7)
The course teaches students comprehensive and specialised subjects in computer science; it teaches students cutting-edge engineering skills to solve real-world problems using computational thinking and tools. Most of this program is the case (or) project-based where students learn by solving real-world problems end to end. This program has core courses that focus on computational thinking and problem solving from first principles.
The core courses are followed by specialization courses that teach various aspects of building real-world systems. This is followed by more advanced courses that focus on research-level topics, which cover state-of-the-art methods. The program also has a capstone project at the end, wherein students can either work on building end-to-end solutions to real-world problems (or) work on a research topic. The program also focuses on teaching the students the “ability to learn” so that they can be lifelong learners constantly upgrading their skills. Students can choose from a spectrum of courses to specialize in a specific sub-area of Computer Science like Artificial Intelligence and Machine Learning, Cloud and Full Stack Development, etc.
The overall course objectives of the programme are:
Knowledge
- Students will have cutting-edge knowledge and understanding of computer science allowing them to solve real-world engineering and specific computational problems using advanced techniques at the forefront of computer science
- Students will be able to analyse the societal, regulatory, and technological contexts for key computer science applications
- Students will be able to apply their technological abilities to produce innovative solutions to real-world problems and that implement technique learned in the course
- Students will display original thinking on the basis of the knowledge they gain in the course
Skills
- Develop advanced, innovative, and multi-disciplinary problem-solving skills
- Communicate computer science methods and tools clearly and unambiguously to specialised and non-specialised audiences
- Develop advanced abilities related to computer science operational procedures and implement them in response to changing environments
- Critically evaluate alternative approaches to solving real-world engineering and technological problems using cutting edge techniques in computer science on the basis of academic scholarship and case studies, demonstrating reflection on social and ethical responsibilities
- Formulate technological judgments and plans despite incomplete information by integrating knowledge and approaches from various computer science domains including machine learning, distributed computing, and cloud computing.
- Enquire critically into the theoretical strategies for solving real-world problems using computational thinking and tools.
- Develop new skills in response to emerging knowledge and techniques and demonstrate leadership skills and innovation in complex and unpredictable contexts
Competences
- Formulate research-based solutions to practical problems in environments of incomplete information
- Manage decisions with autonomy in complex and unpredictable environments
- Organise projects and people in a way that is responsive to changes in the wider technological environment
- Demonstrate learning skills needed to maintain continued, self-directed study
Dean
Srikanth Varma Chekuri
I am a Machine Learning Scientist by training and work-experience, and an educator with passion. I have been fortunate to have studied at Indian Institute of Science and worked at some of the best tech companies like Amazon and Yahoo! on a wide variety of real world ML and AI problems.
I am a lifelong learner, tinkerer and team-builder.
LinkedIn: https://www.linkedin.com/in/cskvarma/
Academic board members
Ajay Shenoy
Research:
My primary research interest is in applications of Machine Learning tools for Signal Processing. Other areas of interest include Pattern Recognition, Statistical Learning, Biomedical Signal Processing, Statistical Signal Processing, Compressed Sensing and Optimization.
Teaching:
Machine Learning, Neural Networks, Statistics, Stochastic Processes, Fourier Analysis, Image Processing
Joshua Broggi
I'm the founder of Woolf, which is building online infrastructure for the future of higher education. Previously, at Oxford, I was a member of the Faculty of Philosophy, a member of Wolfson College, and a member of the governing Congregation of the University. I also held a Humboldt Fellowship, during which I worked on the definition and measure of human progress. I was especially interested in how modern universities were created to support progress.
Professors, Instructors and professional experts
Shubham Bansal
Phani Sindhu Kusam
Ritwik Malla
I am involved in building the best Data Science and ML programs in the world.
I help to bring out the best in others.
Linkedln : https://www.linkedin.com/in/ritwikmalla/
Jasbir Singh
Hina Sharma
- I'm enthusiastic about data science and Enjoy using practical methods to solve complex problems.
- A Lifelong learner who is very good at team building & management and likes to work with people who want to build a product/services in a strategic way.
LinkedIn : https://www.linkedin.com/in/hinasharma19/
Medium: https://medium.com/@hinasharma19se
Amit Singh Chowdhery
Highly motivated corporate trainer with experience in training small and large groups across diverse industries. Proven success in leveraging educational theories and methodologies to design, develop, and deliver successful training programs and integrate instructional technology to provide onsite and virtual training.
Dhruv Jawali
Navdeep Sandhu
Nikhil Sanghi
Varun Garg
Suraaj Hasija
Sundeep Goud Babbur
I am a full stack engineer with more than 3 years of professional experience. I love solving complex problems through code and developing software.
Shivank Agrawal
Specialties: C/C++/C#/Java/Perl/Oracle/SQLplus/ R/ Oracle R/ Hadoop/ HIVE/ BigData/SPARK/Machine Learning/Data mining
Satish Babu Atcha
Mudit Goel
Preparing a generation of coders who will change a country.
Anshuman Singh
An engineer who helped build Facebook chat and messages, along with the new Messenger. Committed and devoted to creating 1M+ world-class engineers by giving them the right learning outcomes. If you'd like to join me in the mission, send a "Hi". Quality trumps Quantity.
Alok Singh
KeerthiKumar S G
Ayush Giri
Sumit Jain
Setup a one-on-one session with me at https://topmate.io/sumit_jain
I am a curious and passionate individual, with a grit to explore new tech to disrupt varied domains.Being a good learner and a hard worker, I have devoted my interests in learning and contributing to a lot of things over the course of my life until now and these will just keep growing.
Building end to end large scale enterprise grade Artificial Intelligence/Machine learning applications and products is something which I absolutely love to do and made it my full time(Industry) and, part time mentoring and volunteering, continuing from the past few years.
I help build data science careers of lot of aspirants. Up until now, I personally mentored 50+ aspirants (significant % with total work ex more than mine) and my lectures/courses/sessions have helped minimum 1000+ learners and counting. I have taken technical sessions for audience strength of 130-150 data science learners at a time. I also take mock interviews and actuals to help prepare aspirants for interviews of competitive companies.
With an entrepreneurial mindset, I have a sharp interest in building high potential projects that might turn into startups. I love attending conferences and meetups to build relationships with like minded passionate personalities and discuss potential ideas. I aspire to be an inspirational entrepreneur and, an expert generalist which i consider as my infinite goals.
Professionally, I love challenges and opportunities that keeps me on my toes all the time. You can know about my experiences through my profile, below.
Personally, when I am outside work, I travel and explore the world, play tournament cricket, go for treks, experience stuff i never did before, get to know people, make friends and learn from their experiences.
I love making new professional acquaintances and, hey, they usually turn into amazing friendships. Reach out to me and let's have a nice conversation.
Ping me on Hangouts/mail @ sumitjain.bits@gmail.com
One of my ML lectures: https://youtu.be/i06byQMdAzo