DUSOL B.Tech Data Analytics for Working Professionals

B.Tech in Data Analytics Engineering is an emerging field of engineering. The focus of the program is developing data-driven decision-making, predictive modeling, and AI applications. Thus, students need to develop skills related to data processing, machine learning, and big data technologies. For that, it is necessary for students to pay attention to subjects like computer science, mathematics, and statistics to meet the growing demand for data professionals in various industries. 

Working Professionals who want to enhance their skills in the field of Data Analytics plan to apply for the Part-Time B.Tech program from DUSOL. A part-time B.Tech program is designed for working professionals who want to upgrade their qualifications without leaving their jobs. However, as per AICTE and UGC guidelines, distance and part-time B.Tech programs are not valid. Instead, candidates can opt for B.Tech for Working Professionals or B.Tech in Hybrid Mode, which is AICTE-approved. A valid B.Tech for Working Professionals program allows diploma holders and working professionals to earn a degree while continuing their jobs, ensuring career growth in engineering fields. Students also ask: B.Tech Open Distance Learning!

The duration of the B.Tech for Working Professionals is a 3-year graduation program. The program is suitable because online sessions are conducted online which is possible for working professionals to attend the live sessions while fulfilling their professional commitments. Not only this, recorded sessions are also shared with the applicants so they can access the study material whenever required. In case live sessions aren’t attended by learners they can complete the program with the help of recorded sessions. Moreover, students can connect with the faculties in person when they are visiting the campus for lab sessions and discuss topics if they have any queries/ questions.

Here are the best universities mentioned which are providing B.Tech flexible timing program: 

DUSOL doesn’t provide a part-time B.Tech program. To enroll in the B.Tech Flexible Timing program, candidates must meet the following eligibility criteria:

• Applicants must have completed a Diploma in Engineering from a recognized institute.
• A minimum aggregate score of 45%-50% in the diploma program is required.
• Relevant work experience in the engineering field is mandatory for admission.
• There is no age restriction, allowing both fresh diploma holders and experienced professionals to apply.
• Some universities may conduct entrance exams, while others offer direct admission based on qualifications and work experience.

Applicants are advised to check the specific admission requirements of their chosen university before applying.

DU SOL offers EMI (Equated Monthly Instalment) financing to its students. This option is accessible to students who pay their course costs in installments rather than all at once. The EMI option is intended to make higher education more affordable and accessible to a wider variety of students who cannot pay the entire tuition upfront.

A B.Tech in Data Analytics integrates computer science, mathematics, statistics, and artificial intelligence (AI) to equip students with data-driven decision-making skills. The curriculum covers data processing, machine learning, cloud computing, and big data technologies. Here is the general syllabus shared with readers. It may vary from university to university. 

The Delhi University School of Open Learning (DU SOL) uses a different examination structure for its online programs than traditional pen-and-paper tests. Continuous evaluation and end-of-term tests are part of the examination pattern for online programs. The end-of-term tests are computer-based; students must attend the exam at a testing centre. The question paper contains objective and subjective questions.

A B.Tech in Data Analytics equips graduates with skills in data science, big data, artificial intelligence, and machine learning, making them highly sought-after in various industries. Below is a table outlining key job roles, descriptions, and average salaries: