An Overview of Christ University Data Science Courses

In the world of technology and Artificial Intelligence assisting your every life choice, data science is a boon for businesses and organizations to keep up their game. It’s more than just an interesting discipline that stems from other related subjects, it lets you study data and learn how to build an innovative future for everyone involved. Data science requires no solid academic background for any interested learner, which makes it suitable for beginners to start with. However, it does need a basic understanding of certain subjects like mathematics and computer science. Nowadays, there are plenty of online institutions and offline degree programs that elaborate on all data science-related concepts. One such program we’re discussing here is data science at Christ University.

So, without any further delay let us begin with a holistic overview of Christ University Data Science courses.

But First, Let Us Understand the Background of Data Science

The data science industry is prosperous and offers ample opportunities to all its aspirants. But its popularity among students wasn’t always at its peak, even though the discipline has been around for quite a long time.

Studying data science with the guidance of professional courses helps you stay updated on the latest industry trends and technological advancements, while also building your technical skills from scratch. So, how did this data science become such a big deal?

Taking the basics into account, this field has existed since the 1960s and developed further in the 1970s. Its primary functions were identified as a part of computer science, while some of its traces can be found in several other disciplines such as calculus, computational statistics and even physics.

Over the years, there has been debate regarding its connection to statistics where several statisticians including Nate Silver sided with data science being an alternative to statistics, while others argued against it.

Data science is an interdisciplinary field, focused on extracting information from large datasets and applying knowledge to solve problems related to digital data.

Data science has undergone years of evolution which gave rise to what it is today, so when you dive deeper into this field all these changes will become clearer to you.

These professional courses let you access thousands of study materials and resources available on the internet, from anywhere around the world.

As the world is becoming more digital information is abundant and your role is mostly to sort out what adds more value to the companies.

The new generation of data science has introduced several components to the field such as artificial intelligence and machine learning. You will find this topic covered among Christ University Data Science courses because its relevance is as important as the data science domain.

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What Are the Technical Skills You Can Learn Through a Professional Course?

Data science does not only teach you the basics and key components but helps you build skills that can be used across industries. Technical skills help you cover the technical side of data science with ease but you don’t have them naturally in you.

However, these can be learned at professional programs like Christ University’s data science courses. Some relevant technical skills are listed below:

Python –

Your Python skills determine how proficient you’ll be with most of your assigned duties as a data scientist. This programming tool has seen a rise in popularity with technological advancements and adding this skill to your resume is going to make you stand out from other candidates.

It has several advantages, which are reasons for the worldwide adoption of Python programming, one being its suitability for data analysis tasks.

Today’s data science worksphere extensively uses this program for its ready-made libraries such as Pandas, NumPy and Matplotlib which enable you to perform all kinds of tasks from data manipulation to data cleaning.

To learn Python or other programming languages, you can join professional training such as Christ University data science courses.

Data Visualization –

Presenting your findings through data visualization skills, enables everyone working with you to feel involved. Moreover, your ideas will come across clearer when presented through visual forms like charts, graphs, tables and heat maps.

This skill comes hand-in-hand with your natural skills like communication and attention to detail. Data visualization in a broader perspective is considered a critical part of your job, where decision-makers and stakeholders play a role in understanding the conclusions of data analysis to turn it into action.

Data visualization and its subfield is rapidly evolving with important contributions from disciplines like psychology and neuroscience.

Calculus and Statistics –

Mathematics and statistics are important parts of data science, with some arguing it to be an alternate term. To be realistic, you don’t need to have a background in either mathematics or statistics to start learning this subject.

However, a basic understanding of calculus and statistics helps you with several data science tasks. Several educational institutions have elaborate programs like Christ University data science courses, where you can familiarize yourself with mathematical concepts of data science.

Having a firm grasp of it can help you perform better or apply different techniques for building robust data models. It also assists your understanding of what data you are currently working with.

Machine Learning –

The technologically advanced side of data science is considerably hard to grasp for many because it’s dynamic and ever-evolving. Moreover, there are many concepts here that cannot be explained through definitions or theoretical learning, you need a certain amount of practical experience to master it.

Building this skill can help you learn the ways of working in proper tech-based career paths. It’s often used interchangeably with artificial intelligence but it doesn’t mean the same thing because artificial intelligence (AI) is a broader term.

Data science courses at Christ University elaborate on this point through modules or create structured courses for the topic. This skill is focused on developing algorithms that can be automated to work without human guidance.

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Cloud Computing –

This skill is closely associated with other computer-based data science skills. Sometimes when you have too many datasets to manage, an average computer storage can be exhausted. That’s when cloud-based technology comes in handy, it’s a global network of remote servers that deliver computing services like storage, networking and software using the internet as the medium.

Cloud computing is not a specific skill but rather a technique that allows you to handle large datasets with ease. It works similarly to other cloud technologies which provide a storage space many times the capacity of an average computer.

The benefit is that it’s accessible and editable from anywhere around the world, enabling faster innovation, flexible resources, lower operating costs, more efficient infrastructure, easier data backup and disaster recovery. However, it’s not always a free service and you have to pay to unlock some features.

Deep Learning –

Those who learn machine learning at Christ University data science courses also build their skills in something called deep learning. It’s a subfield of what machine learning is used for, known as neural networks which are inspired by the structure and function of the human brain.

This too requires a basic understanding of programming languages as well as calculus, to set out on your desired career path as a beginner.

In the intermediate or advanced levels, you’ll need a thorough understanding of machine learning literature, algorithms and other frameworks like TensorFlow and PyTorch to grasp the concept of deep learning.

Models created with this skill are trained to recognize complex patterns in pictures, texts, data or even sound to produce accurate predictions or insights. In the context of modern businesses, having this skill is a game-changer and learning data science at Christ University is going to set you on track.

Natural Language Processing –

Have you ever wondered how some applications can accurately recognize voices and translate words into text? This is all because of a machine’s ability for natural language processing (NLP). As humans, we are accustomed to communicating through language or text which is why a majority of collected data are in these formats.

NLP is another subfield of artificial intelligence that primarily focuses on extracting essential information from languages or texts, making work simpler.

To work efficiently with this skill, you’ll need to be trained in linguistics or be proficient with its libraries. Data science at Christ University is usually followed under the guidance of industry professionals, who share valuable insights regarding natural language processing. With enough curiosity, discipline and openness you’ll master this skill in no time.

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Big Data –

This term describes large and diverse datasets that are huge in volume and can rapidly help develop personally. Big data is used extensively in machine learning, predictive modelling as well as other advanced analytics to solve business problems for making informed decisions.

Certain characteristics define big data more precisely, these are volume, value, variety, velocity and veracity. When you have to process vast amounts of complex data at high speed, programming languages like Python or R will not suffice.

Several tools and technologies are rapidly evolving, to help you design big data analysis in faster, scalable and reliable means. You will get ample opportunities to build your big data skills through Christ University data science courses.

Background of Christ University, Bangalore

Christ University was established in the year 1969, as the Christ College. It’s well-known for its initiatives in higher education along with the introduction of innovative and modern curricula.

It insists on academic discipline, imparts holistic education and adopts global higher education practices with the support of dedicated faculty.

Over the years, it has established several schools under it such as the School of Architecture, the School of Law, the School of Social Sciences, the School of Arts and Humanities, the School of Education and the School of Engineering and Technology which offers Christ University’s data science courses.

Christ University attained autonomy under the University Grants Commission (UGC) back in the year 2004. Today, it’s reputed among the top 100 universities in India at 67 in the NIRF India ranking.

Learning data science at Christ University has its benefits, as the institute is multi-disciplinary. It emphasizes on teaching, research, and service for Bachelor, Master and Doctoral programs in almost all fields to more than 30,000 students.

The campus environment for the university is multicultural with students hailing from all states in India. It has been a great promoter of sports, music, literary activities and anything that nurtures creative excellence.

The University provides a comprehensive learning environment for its students through an eco-friendly, serene and peaceful campus, where they are committed to upholding the values system.

It offers well-finished residence halls for non-resident students aimed at holistic development which nurtures them away from home. Apart from Christ University’s data science courses, you’ll also be able to access a library of valuable resources.

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Vision and Mission of Christ University:

Like all other educational institutions, Christ aims for excellence and service among its students. The university prioritizes its mission for nurturing ground for your holistic development and makes continuous efforts towards building a society in a dynamic environment.

How to Connect With Them?

Address – Dharmaram College Post, Hosur Road, Bengaluru – 560029, Karnataka, India

Contact number – (+91) 8040129100

Email – mail@christuniversity.in

Website – christuniversity.in

Computer Science and Engineering Department

This department offers several programs like the Bachelor of Technology, Master of Technology and other areas covering Information Technology or Computer Science Engineering.

The department takes pride in its rich knowledge pool consisting of well-trained fields like artificial intelligence, machine learning, cryptography, data mining, big data and cloud computing.

As a student here, you’ll be able to access a wide variety of labs to aid your research. Overall, the department’s main motif is to prepare students for a lucrative career in industry or research.

The Computer Science and Engineering Department has long aimed to fortify ethical computational excellence through its curriculum. Some of its missions include:

• Imparting core and contemporary knowledge in the areas of Information Technology and Computer.
• Promoting the culture of research and facility through higher education.
• Acquainting students like you with the latest industrial practices, team building and entrepreneurship.
• Sensitize all students to serve the environment and society, fulfilling the ethical needs of society throughout their lives.

Aside from Christ University’s data science courses, you’ll get to experience the best-in-class infrastructure and faculty profile. It’s considered the largest department in terms of number of faculty and students.

The curriculum provided here is designed to help you climb the ladder to success and its strong industry connections with CISCO, REDHAT and ORACLE Academy make this possible.

Detailed Information on Christ University Data Science Courses

Undergraduate Program – Computer Science and Engineering: Data Science

The undergraduate data science program lives up to its name as an interdisciplinary course, with a problem-solving approach. You can learn to apply scientific techniques to several practical problems that may arise.

The curriculum blends in data inference, algorithm development and technology for solving complex problems and equipping you with quality learning materials.

The course mainly emphasizes developing the necessary skills for students to sustain today’s industrial expectations, in pursuit of maintaining high personal and professional values.

Moreover, the program acknowledges the need for skilled data scientists and data architects in recent years and tries to solve the problem of quality education.

The undergraduate data science course also offers:

• Dedicated laboratories for data science research
• Student exchange programs with foreign universities
• Student clubs which are associated with seminars and conferences
• Industry tie-ups for internships, project work, and placements
• Industry 4.0 curriculum to match recent frameworks
• Exclusive faculty members from within the domain.

Christ University’s data science courses train you on all the industry-relevant practices. Students can learn to write code in various programming languages under the guidance of professionals and understand data structures and design algorithms used in data science.

An understanding of different databases, SQL, NoSQL and database management is important which is why you are taught in-depth modules.

In the duration of this training program, you’ll get familiar with technologies like Spark, Hadoop and related distributed computing systems. There will also be elaborate modules about data manipulation, statistical analysis and data visualization techniques that use tools like IBM’s SPSS and Tableau.

The approach is practical and helps you crack real-world problems with data science and engineering techniques. Some takeaway technical skills from this course are HTML, JavaScript, CSS, server-side scripting and skills related to the management of data science projects.

Curriculum

(Year 1)

• Basic Sciences
• Holistic Education
• Technical English Skills
• Computer programming language
• Engineering graphics

(Year 2)

• Statistical foundations for data analytics
• Data structure concepts
• Operating systems
• Database management systems
• Python for data science

(Year 3)

• Mini project and internship
• Business intelligence
• Artificial intelligence
• Big data analytics
• Program electives

(Year 4)

• Web analytics and open electives
• Internships and seminars

Postgraduate Program: Master of Technology Data Science

Just like other data science programs at Christ University, the M.Tech follows a certain duration to impart required knowledge or methodologies. Christ University’s data science courses train you with industry-relevant techniques, data science concepts, data warehousing, data mining, machine learning and visualization techniques.

This training program primarily focuses on providing the best postgraduate education, helping students like you meet regional, national and international needs in various fields.

Experienced academic trainers and industry experts are responsible for the curriculum framework, signifying its worth in addressing the future demands of enterprises.

Christ University’s data science courses, primarily the one we’re discussing, focus on a multidisciplinary nature to encourage learners to work on their dissertations.

It also enables you to apply your knowledge of data science and computer science in the field of natural language processing, big data and several emerging technologies for building experience in solving real-world problems.

This department offers students dedicated labs and a research centre so students are encouraged to go through with their research under expert supervision.

Eligibility Criteria:

• You can apply for this program if you’ve passed B.Tech/B.E with a minimum 55% aggregate
• Students who are pursuing an international curriculum should note that eligibility is set according to AIU stipulations.

Curriculum

(Year 1)

• Holistic education
• Audit courses 1 and 2
• Advanced data structures and algorithms lab
• Advanced database systems lab
• Advanced data mining and visualization
• Optimization techniques for data science
• Big data analytics
• Professional Practice 1 and 2
• Research Methodology and IPR
• Advanced data structures and algorithms
• Business intelligence and its applications

(Year 2)

• Dissertation Phase 1
• Internships
• Program and Global electives

Possible Career Prospects After Christ University Data Science Courses:

• Data science researchers work in academia or research institutions to advance data science technologies and applications
• With data visualization approaches and interdisciplinary work, you could help lead start-ups or enterprises in the right direction
• The data science industry or profession is followed by immense salary ranges and high-earning potential
• You can get insightful information and support decision-making within smaller companies. Most data scientists gather, purify, and evaluate data while statistical and machine learning methods are frequently used by them
• Artificial intelligence and machine learning models encompass a variety of data-driven tasks. This includes computer vision, natural language processing, image recognition, predictive modeling, and important decision-making

FAQs

Q) Does the data science career path pay well?

Yes, data science is one of the most lucrative career paths in India, according to trusted sources. They are capable of earning 10 to 50 Lakhs per year depending on work experience.

Q) Are offline data science courses better than live online learning?

They’re both beneficial in their ways, because live online learning is cost-effective and highly accessible, while offline courses enable you to feel more involved in several activities for a comprehensive learning experience.

Q) Should I get an IT job after data science?

Data science skills are demanded in several industries including the Information Technology (IT) sector. After completing a professional course, you can secure a job in medicine, healthcare, education, management, IT, retail etc.

Conclusion

Christ University data science courses are equipped with every possible factor that could benefit you in the long run. Not only does this university offer ample opportunities to get you involved and work better, but also provides resources like research labs, student clubs and seminars with industry professionals. There are also mandatory internships available for your practical experience gain.

Data science in itself is a prosperous field as well as a career path, which lets you apply its techniques many years into the future. The skills you’ll gain in your learning journey will keep evolving to help businesses prepare for many years ahead.