diff --git a/backend/app/coordinator/routes/students.py b/backend/app/coordinator/routes/students.py
index be392a4..92f0e23 100644
--- a/backend/app/coordinator/routes/students.py
+++ b/backend/app/coordinator/routes/students.py
@@ -102,11 +102,9 @@ def create_student(data: dict) -> dict:
 @bp.output(MessageSchema)
 def upload_students(file: dict) -> dict:
     uploaded_file = file.get('file')
-    mode = file.get('mode') == '0'
-
     if uploaded_file and is_allowed_extensions(uploaded_file.filename):
         try:
-            students = parse_csv(uploaded_file, mode)
+            students = parse_csv(uploaded_file, mode=True)
             while True:
                 sliced_students = islice(students, 5)
                 list_of_students = list(sliced_students)
@@ -120,6 +118,7 @@ def upload_students(file: dict) -> dict:
         except IntegrityError as e:
             # in the future create sql query checks index and add only these students, which didn't exist in db
             abort(400, "These students have already exist!")
+
     else:
         abort(400, "Invalid extension of file")
 
diff --git a/backend/app/coordinator/utils.py b/backend/app/coordinator/utils.py
index e3abe2f..ab53f18 100644
--- a/backend/app/coordinator/utils.py
+++ b/backend/app/coordinator/utils.py
@@ -9,12 +9,13 @@ from ..students.models import Student
 
 def check_columns(df: pd.DataFrame) -> bool:
     headers = set(df.keys().values)
-    columns = ['first_name', 'last_name', 'index', 'mode']
+    columns = ['NAZWISKO','IMIE','INDEKS','PESEL','EMAIL']
+
     if len(headers - set(columns)) != 0:
         return False
 
     flag = True
-    col_types = ['object', 'object', 'int', 'int']
+    col_types = ['object', 'object', 'int', 'float64', 'object']
 
     for name, col_type in zip(columns, col_types):
         if not str(df.dtypes[name]).startswith(col_type):
@@ -25,11 +26,17 @@ def check_columns(df: pd.DataFrame) -> bool:
 
 
 def parse_csv(file, mode) -> Generator[Student, Any, None]:
-    df = pd.read_csv(file)
+    df = pd.read_csv(file, mode)
 
-    if not check_columns(df):
-        raise InvalidNameOrTypeHeaderException
+    # if not check_columns(df):
+    #     raise InvalidNameOrTypeHeaderException
 
-    students = (Student(**dict(item.items(), mode=mode))
+    students = (Student(last_name = dict(item.items())['NAZWISKO'],
+                        first_name = dict(item.items())['NAZWISKO'],
+                        index = dict(item.items())['INDEKS'],
+                        pesel = str(int(dict(item.items())['PESEL'])) if not pd.isna(dict(item.items())['PESEL'])  else '',
+                        email = dict(item.items())['EMAIL'],
+                        mode=mode)
                 for _, item in df.iterrows())
+                
     return students
diff --git a/frontend/src/views/coordinator/Students.tsx b/frontend/src/views/coordinator/Students.tsx
index 273e327..851f9ca 100644
--- a/frontend/src/views/coordinator/Students.tsx
+++ b/frontend/src/views/coordinator/Students.tsx
@@ -50,7 +50,6 @@ const Students = () => {
     const file = event.target.files[0]
     const payload = new FormData()
     payload.append('file', file, file.name)
-    payload.append('mode', mode ? '0' : '1')
     mutateUpload(payload)
   }